CA2101673C - Method and system for digital image signatures - Google Patents
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- CA2101673C CA2101673C CA002101673A CA2101673A CA2101673C CA 2101673 C CA2101673 C CA 2101673C CA 002101673 A CA002101673 A CA 002101673A CA 2101673 A CA2101673 A CA 2101673A CA 2101673 C CA2101673 C CA 2101673C
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Abstract
A method and system for embedding signatures within visual images in both digital representation and print or film. A signature is inseparably embedded within the visible image, the signature persisting through image transforms that include resizing as well as conversion to print or film and back to digital form.
Signature points are selected from among the pixels of an original image. The pixel values of the signature points and surrounding pixels are adjusted by an amount detectable by a digital scanner. The adjusted signature points form a digital signature which is stored for future identification of subject images derived from the image. In one embodiment, a signature is embedded within an image by locating relative extrema in the continuous space of pixel values and selecting the signature points from among the extrema. Preferably, the signature is redundantly embedded in the image such that any of the redundant representations can be used to identify the signature. Identification of a subject image includes ensuring that the subject image is normalized with respect to the original image or the signed image.
Preferably, the normalized subject image is compared with the stored digital signature.
Signature points are selected from among the pixels of an original image. The pixel values of the signature points and surrounding pixels are adjusted by an amount detectable by a digital scanner. The adjusted signature points form a digital signature which is stored for future identification of subject images derived from the image. In one embodiment, a signature is embedded within an image by locating relative extrema in the continuous space of pixel values and selecting the signature points from among the extrema. Preferably, the signature is redundantly embedded in the image such that any of the redundant representations can be used to identify the signature. Identification of a subject image includes ensuring that the subject image is normalized with respect to the original image or the signed image.
Preferably, the normalized subject image is compared with the stored digital signature.
Description
Description METHOD AND SYSTEM FOR DIGITAL IMAGE SIGNATURES
Technical Field This invention relates to a method of and system for encoding a signature into a digital image and auditing a digital subject image to determine if it was derived from the encoded image.
Background of the Invention Various images in traditional print or photographic media are commonly distributed to many users. Examples include the distribution of prints of paintings to the general public and photographs and film clips to and among the media. Owners may wish to audit usage of their images in print and electronic media, and so require a method to analyze print, film and digital images to determine if they were obtained directly from the owners or derived from their images. For example, the owner of an image may desire to limit access or use of the image. To monitor and enforce such a limitation, it would be beneficial to have a method of verifying that a subject image is copied or derived from the owner's image. The method of proof should be accurate and incapable of being circumvented. Further, the method should be able to detect unauthorized copies that have been resized, rotated, cropped, or otherwise altered slightly.
In the computer field, digital signatures have been applied to non ?5 image digital data in order to identify the origin of the data. For various reasons these prior art digital signatures have not been applied to digital image data. One reason is that these prior an digital signatures are lost if the data to which they are applied are modii"ted. Digital images are often modified each time they are printed, scanned, copied, or photographed due to unintentional "noise" created by the mechanical reproduction equipment used. Further, it is often desired to resize, rotate, crop or otherwise intentionally modify the image. Accordingly, the existing digital signariires are unacceptable for use with digital images.
Summary of the Invention The invention includes a method and system for embedding image signatures within visual images, applicable in the preferred embodiments described herein to digital representations as well as other media such as print or film. The signatures identify the source or ownership of images and distinguish between different copies of a single image. In preferred embodiments, these signatures persist through image transforms such as resizing and conversion to or from print or film and so provide a method to track subsequent use of digital images including derivative images in print or other form.
In a preferred embodiment described herein, a plurality of signature points are selected that are positioned within an original image having pixels with pixel values. The pixel values of the signature points are adjusted by an amount detectable by a digital scanner. The adjusted signature points form a digital signature that is stored for future identification of subject images derived from the image.
The preferred embodiment of the invention described herein embeds a signature within the original image by locating candidate points such as relative extrema in the pixel values. Signature points are selected from among the candidate points and a data bit is encoded at each signature point by adjusting the pixel value at and surrounding each point. Preferably, the signature is redundantly embedded in the image such that any of the redundant representations can be used to identify the signature. The signature is stored for later use in identifying a subject image.
According to a preferred embodiment, the identification of a subject image includes ensuring that the subject image as normalized, i.e., of the same size, rotation, and brightness level as the original image. If not already normalized, the subject image is normalized by aligning and adjusting the luminance values of subsets of the pixels in the subject image to match corresponding subsets in the original image. The normalized subject image is then subtracted from the original image and the result is compared with the stored digital signature. In an alternate embodiment, the normalized subject image is compared directly with the signed image.
Brief Description of the Drawings Figure 1 is a diagram of a computer system used in a preferred embodiment of the present invention.
Figure 2 is a sample digital image upon which a preferred embodiment of the present invention is employed.
Figure 3 is a representation of a digital image in the form of an array of pixels with pixel values.
z~~~~~ a Figure 4 is graphical representation of pixel values showing relative minima and maxima pixel values.
Figure ~ is a digital subject image that is compared to the image of Figure 2 according to a preferred embodiment of the present invention.
Detailed Description of the Invention The present invention includes a method and system for embedding a signature into an original image to create a signed image. A preferred embodiment includes selecting a large number of candidate points in the original image and selecting a number of signature points from among the candidate points. The signature points are altered slightly to form the signature. The signature points are stored for later use in auditing a subject image to determine whether the subject image is derived from the signed image.
The signatures are encoded in the visible domain of the image and so become part of the image and cannot be detected or removed without prior knowledge of the signature. A key point is that while the changes manifested by the signature are too slight to be visible to the human eye, they are easily and consistently recognizable by a common digital image scanner, after which the signature is extracted, interpreted and verified by a software algorithm.
In contrast to prior art signature methods used on non-image data, the signatures persist through significant image transformations that preserve the visible image but may completely change the digital data. The specific transforms allowed include resizing the image larger or smaller, rotating the image, uniformly adjusting color, brightness and/or contrast, and limited cropping.
Significantly, the signatures persist through the process of printing the image to paper or film and rescanning it into digital form.
Shown in Figure 1 is a computer system 10 that is used to carry out an embodiment of the present invention. The computer system 10 includes a computer 12 having the usual complement of memory and logic circuits, a display monitor 14, a keyboard 16, and a mouse 18 or other pointing device. The computer system also includes a digital scanner 20 that is used to create a digital image representative of an original image such as a photograph or painting.
Typically, delicate images, such as paintings, are converted to print or film before being scanned into digital form. In one embodiment a printer 22 is connected to the computer 12 to print digital images output from the processor. In addition, digital images can be output in a data format to a storage medium 23 such as a 21D~.~~3 floppy disk for displaying later at a remote site. Any digital display device may be used, such a common computer printer, X-Y plotter, or a display screen.
An example of the output of the scanner 20 to the computer 12 is a digital image 24 shown in Figure 2. More accurately, the scanner outputs data ~ representative of the digital image and the computer causes the digital image 24 to be displayed on the display monitor 14. As used herein "digital image" refers to the digital data representative of the digital image, the digital image displayed on the monitor or other display screen, and the digital image printed by the printer 22 or a remote printer.
The digital image 24 is depicted using numerous pixels 24 having various pixel values. In the gray-scale image 24 the pixel values are luminance values representing a brightness level varying from black to white. In a color image the pixels have color values and luminance values, both of which being pixel values. The color values can include the values of any components in a representation of the color by a vector. Figure 3 shows digital image 24A in the form of an array of pixels 26. Each pixel is associated with one or more pixel values, which in the example shown in Figure 3 are luminance values from 0 to 15.
The digital image 24 shown in Figure 2 includes thousands of pixels.
The digital image 24A represented in Figure 3 includes 225 pixels. The invention preferably is used for images having pixels numbering in the millions.
Therefore, the description herein is necessarily a simplistic discussion of the utility of the tnventton.
According to a preferred embodiment of the invention numerous candidate points are located within the original image. Signature points are selected from among the candidate points and are altered to form a signature.
The signature is a pattern of any number of signature points. In a preferred embodiment, the signature is a binary number between 16 and 32 bits in length.
The signature points may be anywhere within an image, but are preferably chosen to be as inconspicuous as possible. Preferably, the number of signature points is much greater than the number of bits in a signature. This allows the signature to be redundantly encoded in the image. Using a 16 to 32 bit signature, 50-200 signature points are preferable to obtain multiple signatures for the image.
A preferred embodiment of the invention locates candidate points by finding relative maxima and minima, collectively referred to as extrema, in the image. The extrema represent local extremes of luminance or color. Figure 4 shows what is meant by relative extrema. Figure 4 is a graphical representation of the pixel values of a small portion of a digital image. The vertical axis of the '~~Lfl~~'~~
graph shows pixel values while the horizontal axis shows pixel positions along a single line of the digital image. Small undulations in pixel values, indicated at 32, represent portions of the digital image where only small changes in luminance or color occur between pixels. A relative maximum 34 represents a pixel that has the ~ highest pixel value for a given area of the image. Similarly, a relative minimum 36 represents a pixel that has the lowest pixel value for a given area of the image.
Relative extrema are preferred signature points for two major reasons. First, they are easily located by simple, well known processing.
Second, they allow signature points to be encoded very inconspicuously.
One of the simplest methods to determine relative extrema is to use a "Difference of Averages" technique. This technique employs predetermined neighborhoods around each pixel 26; a small neighborhood 28 and a large neighborhood 30, as shown in Figures 2 and 3. In the present example the neighborhoods are square for simplicity, but a preferred embodiment employs circular neighborhoods. The technique determines the difference between the average pixel value in the small neighborhood and the average pixel value of the large neighborhood. If the difference is large compared to the difference for surrounding pixels then the first pixel value is a relative maxima or minima.
Using the image of Figure 3 as an example, the Difference of Averages for the pixel 26A is determines as follows. The pixel values within the 3x3 pixel small neighborhood 28A add up to 69; dividing by 9 pixels gives an average of 7.67. The pixel values within the Sx~ pixel large neighborhood 30A
add up to 219; dividing by 25 pixels gives an average of 8.76 and a Difference of Averages of -1.09. Similarly, the average in small neighborhood 28G is 10.0;
the average in large neighborhood 30G is 9.8; the Difference of Averages for pixel 26G is therefore 0.2. Similar computations on pixels 26B-26F produce the following table:
Small Neighborhood I 7.67 10.6 12.89 14.11 13.11 11.36 10.0 Large Neighborhood ~ 8.76 10.56 12.0 12.52 12.2 11.36 9.8 Difference of Averages -1.09 0.0 0.89 1.~9 0.59 0.2 0.2 Based on pixels 26A-26G, there may be a relative maximum at pixel 26D, whose Difference of Averages of 1.~9 is greater than the Difference of Averages for the other examined pixels in the row. To determine whether pixel 26D is a relative maximum rather than merely a small undulation, its Difference of Averages must 2~fl~.~a'~a be compared with the Difference of Averages for the pixels surrounding it in a larger area.
Preferably, extrema within 10% of the image size of any side are not used as signature points. This protects against loss of signature points caused by the practice of cropping the border area of an image. It is also preferable that relative extrema that are randomly and widely spaced are used rather than those that appear in regular patterns.
Using the Difference of Averages technique or other known techniques, a large number of extrema are obtained, the number depending on the pixel density and contrast of the image. Of the total number of extrema found, a preferred embodiment chooses 50 to 200 signature points. This may be done manually by a user choosing with the keyboard 16, mouse 18, or other pointing device each signature point from among the extrema displayed on the display monitor 14. The extrema may be displayed as a digital image with each point chosen by using the mouse or other pointing device to point to a pixel or they may be displayed as a list of coordinates which are chosen by keyboard, mouse, or other pointing device. Alternatively, the computer 12 can be programmed to choose signature points randomly or according to a preprogrammed pattern.
One bit of binary data is encoded in each signature point in the image by adjusting the pixel values at and surrounding the point. The image is modified by making a small, preferably 2%-10% positive or negative adjustment in the pixel value at the exact signature point, to represent a binary zero or one.
The pixels surrounding each signature point, in approximately a ~ x 5 to 10 x grid, are preferably adjusted proportionally to ensure a continuous transition to the new value at the signature point. A number of bits are encoded in the signature points to form a pattern which is the signature for the image.
In a preferred embodiment, the signature is a pattern of all of the signature points. When auditing a subject image, if a statistically significant number of potential signature points in the subject image match corresponding signature points in the signed image, then the subject image is deemed to be derived from the signed image. A statistically significant number is somewhat less than 100%, but enough to be reasonably confident that the subject image was derived from the signed image.
In an alternate embodiment, the signature is encoded using a redundant pattern that distributes it among the signature points in a manner that can be reliably retrieved using only a subset of the points. One embodiment simply encodes a predetermined number of exact duplicates of the signature.
Other redundant representation methods, such as an error-correcting code, may also be used.
In order to allow future auditing of images to determine whether they match the signed image, the signature is stored in a database in which it is associated with the original image. The signature can be stored by associating the bit value of each signature point together with x-y coordinates of the signature point. The signature may be stored separately or as part of the signed image.
The signed image is then distributed in digital form.
f1s discussed above, the signed image may be transformed and manipulated to form a derived image. The derived image is derived from the signed image by various transformations, such as resizing, rotating, adjusting color, brightness and/or contrast, cropping and converting to print or film. The derivation may take place in multiple steps or processes or may simply be the copying of the signed image directly.
It is assumed that derivations of these images that an owner wishes to track include only applications which substantially preserve the resolution and general quality of the image. While a size reduction by 90%, a significant color alteration or distinct-pixel-value reduction may destroy the signature, they also reduce the image's significance and value such that no auditing is desired.
In order to audit a subject image according to a preferred embodiment, a user identifies the original image of which the subject image is suspected of being a duplicate. For a print or film image, the subject image is scanned to create a digital image file. For a digital image, no scanning is necessary. The subject digital image is normalized using techniques as described below to the same size, and same overall brightness, contrast and color profile as the unmodified original image. The subject image is analyzed by the method described below to extract the signature, if present, and compare it to any signatures stored for that image.
The normalization process involves a sequence of steps to undo transformations previously made to the subject image, to return it as close as possible to the resolution and appearance of the original image. It is assumed that the subject image has been manipulated and transformed as described above. To align the subject image with the original image, a preferred embodiment chooses three or more points from the subject image which correspond to points in the original image. The three or more points of the subject image are aligned with the corresponding points in the original image. The points of the subject image not selected are rotated and resized as necessary to accommodate the alignment of the points selected.
For example, Figure 5 shows a digital subject image 3$ that is smaller than the original image 24 shown in Figure ?. To resize the subject image, a user points to three points such as the mouth 40B, ear 42B and eye 44B of the subject image using the mouse 18 or other pointer. Since it is usually difficult to accurately point to a single pixel, the computer selects the nearest extrema to the pixel pointed to by the user. The user points to the mouth 40A, ear 4ZA, and eye 34A of the original image. 'The computer 12 resizes and rotates the subject image L0 as necessary to ensure that points 40B, 42B, and 44B are positioned with respect to each other in the same way that poines 40A, 42A, and 34A are positioned with respect to each other in the original image. The remaining pixels are repositioned in proportion to the repositioning of points 40B, 4~B and 44B. By aligning three points the entire subject image is aligned with the original image without having to align each pixel independently.
After the subject image is aligned, the next step is to normalize the brightness, contrast and/or color of the subject image. Normalizing involves adjusting pixel values of the subject image to match the value-distribution profile of the original image. This is accomplished by a technique analogous to that used :?0 to align the subject image. A subset of the pixels in the subject image are adjusted to equal corresponding pixels in the original image. The pixels not in the subset are adjusted in proportion to the adjustments made to the pixels in the subset.
The pixels of the subject image corresponding to the signature points should not be among the pixels in the subset. Otherwise any signature points in the subject ~5 image will be hidden from detection when they are adjusted to equal corresponding pixels in the original image.
In a preferred embodiment, the subset includes the brightest and darkest pixels of the subject image. These pixels are adjusted to have luminance values equal to the luminance values of corresponding pixels in the original image.
30 To ensure that any signature points can be detected, no signature points should be selected during the signature embedding process described above that are among the brightest and darkest pixels of the original image. For example, one could use pixels among the brightest and darkest 3~'o for the adjusting subset, after selecting signature points among less than the brightest and darkest 5% to ensure that there 35 is no overlap.
When the subject image is fully normalized, it is preferably compared to the original image. One way to compare images is to subtract one image from the other. The result of the subtraction is a digital image that includes any signature points that were present in the subject image. These signature points, if any, are compared to the stored signature points for the signed image. If the signature points do not match, then the subject image is not an image derived from the signed image, unless the subject image was changed substantially from the signed image.
In an alternative embodiment, the normalized subject image is compared directly with the signed image instead of subtracting the subject image from the original image. This comparison involves subtracting the subject image from the signed image. If there is little or no image resulting from the subtraction, they the subject image equals to the signed image, and therefore has been derived from the signed image.
In another alternate embodiment, instead of normalizing the entire subject image, only a section of the subject image surrounding each potential signature point is normalized to be of the same general resolution and appearance as a corresponding section of the original image. This is accomplished by selecting each potential signature point of the subject image and selecting sections surrounding each potential signature point. The normalization of each selected section proceeds according to methods similar to those disclosed above for normalizing the entire subject image.
Normalizing each selected section individually allows each potential signature point of the subject image to be compared directly with a corresponding signature point of the signed image. Preferably, an average is computed for each potential signature point by averaging she pixel value of the potential signature point with the pixel values of a plurality of pixels surrounding the potential signature point. The average computed for each signature is compared directly with a corresponding signature point of the signed image.
While the methods of normalizing and extracting a signature from a subject image as described above are directed to luminance values, similar methods may be used for color values. Instead of or in addition to normalizing by altering luminance values, the color values of the subject image can also be adjusted to equal corresponding color values in an original color image.
However, it is not necessary to adjust color values in order to encode a signature in or extract a signature from a color image. Color images use pixels having pixel values that include luminance values and color values. A digital signature can be encoded in any pixel values regardless of whether the pixel values are luminance values, color values, or any other type of pixel values. Luminance values are 2~.p1~"~
preferred because alterations may be made more easily to luminance values without the alterations being visible to the human eye.
From the foregoing it will be appreciated that, although specific embodiments of the invention have been described herein for purposes of 5 illustration, various modifications may be made withaut deviating from the spirit and scope of the invention. Accordingly, the invention is not limited except as by the appended claims.
Technical Field This invention relates to a method of and system for encoding a signature into a digital image and auditing a digital subject image to determine if it was derived from the encoded image.
Background of the Invention Various images in traditional print or photographic media are commonly distributed to many users. Examples include the distribution of prints of paintings to the general public and photographs and film clips to and among the media. Owners may wish to audit usage of their images in print and electronic media, and so require a method to analyze print, film and digital images to determine if they were obtained directly from the owners or derived from their images. For example, the owner of an image may desire to limit access or use of the image. To monitor and enforce such a limitation, it would be beneficial to have a method of verifying that a subject image is copied or derived from the owner's image. The method of proof should be accurate and incapable of being circumvented. Further, the method should be able to detect unauthorized copies that have been resized, rotated, cropped, or otherwise altered slightly.
In the computer field, digital signatures have been applied to non ?5 image digital data in order to identify the origin of the data. For various reasons these prior art digital signatures have not been applied to digital image data. One reason is that these prior an digital signatures are lost if the data to which they are applied are modii"ted. Digital images are often modified each time they are printed, scanned, copied, or photographed due to unintentional "noise" created by the mechanical reproduction equipment used. Further, it is often desired to resize, rotate, crop or otherwise intentionally modify the image. Accordingly, the existing digital signariires are unacceptable for use with digital images.
Summary of the Invention The invention includes a method and system for embedding image signatures within visual images, applicable in the preferred embodiments described herein to digital representations as well as other media such as print or film. The signatures identify the source or ownership of images and distinguish between different copies of a single image. In preferred embodiments, these signatures persist through image transforms such as resizing and conversion to or from print or film and so provide a method to track subsequent use of digital images including derivative images in print or other form.
In a preferred embodiment described herein, a plurality of signature points are selected that are positioned within an original image having pixels with pixel values. The pixel values of the signature points are adjusted by an amount detectable by a digital scanner. The adjusted signature points form a digital signature that is stored for future identification of subject images derived from the image.
The preferred embodiment of the invention described herein embeds a signature within the original image by locating candidate points such as relative extrema in the pixel values. Signature points are selected from among the candidate points and a data bit is encoded at each signature point by adjusting the pixel value at and surrounding each point. Preferably, the signature is redundantly embedded in the image such that any of the redundant representations can be used to identify the signature. The signature is stored for later use in identifying a subject image.
According to a preferred embodiment, the identification of a subject image includes ensuring that the subject image as normalized, i.e., of the same size, rotation, and brightness level as the original image. If not already normalized, the subject image is normalized by aligning and adjusting the luminance values of subsets of the pixels in the subject image to match corresponding subsets in the original image. The normalized subject image is then subtracted from the original image and the result is compared with the stored digital signature. In an alternate embodiment, the normalized subject image is compared directly with the signed image.
Brief Description of the Drawings Figure 1 is a diagram of a computer system used in a preferred embodiment of the present invention.
Figure 2 is a sample digital image upon which a preferred embodiment of the present invention is employed.
Figure 3 is a representation of a digital image in the form of an array of pixels with pixel values.
z~~~~~ a Figure 4 is graphical representation of pixel values showing relative minima and maxima pixel values.
Figure ~ is a digital subject image that is compared to the image of Figure 2 according to a preferred embodiment of the present invention.
Detailed Description of the Invention The present invention includes a method and system for embedding a signature into an original image to create a signed image. A preferred embodiment includes selecting a large number of candidate points in the original image and selecting a number of signature points from among the candidate points. The signature points are altered slightly to form the signature. The signature points are stored for later use in auditing a subject image to determine whether the subject image is derived from the signed image.
The signatures are encoded in the visible domain of the image and so become part of the image and cannot be detected or removed without prior knowledge of the signature. A key point is that while the changes manifested by the signature are too slight to be visible to the human eye, they are easily and consistently recognizable by a common digital image scanner, after which the signature is extracted, interpreted and verified by a software algorithm.
In contrast to prior art signature methods used on non-image data, the signatures persist through significant image transformations that preserve the visible image but may completely change the digital data. The specific transforms allowed include resizing the image larger or smaller, rotating the image, uniformly adjusting color, brightness and/or contrast, and limited cropping.
Significantly, the signatures persist through the process of printing the image to paper or film and rescanning it into digital form.
Shown in Figure 1 is a computer system 10 that is used to carry out an embodiment of the present invention. The computer system 10 includes a computer 12 having the usual complement of memory and logic circuits, a display monitor 14, a keyboard 16, and a mouse 18 or other pointing device. The computer system also includes a digital scanner 20 that is used to create a digital image representative of an original image such as a photograph or painting.
Typically, delicate images, such as paintings, are converted to print or film before being scanned into digital form. In one embodiment a printer 22 is connected to the computer 12 to print digital images output from the processor. In addition, digital images can be output in a data format to a storage medium 23 such as a 21D~.~~3 floppy disk for displaying later at a remote site. Any digital display device may be used, such a common computer printer, X-Y plotter, or a display screen.
An example of the output of the scanner 20 to the computer 12 is a digital image 24 shown in Figure 2. More accurately, the scanner outputs data ~ representative of the digital image and the computer causes the digital image 24 to be displayed on the display monitor 14. As used herein "digital image" refers to the digital data representative of the digital image, the digital image displayed on the monitor or other display screen, and the digital image printed by the printer 22 or a remote printer.
The digital image 24 is depicted using numerous pixels 24 having various pixel values. In the gray-scale image 24 the pixel values are luminance values representing a brightness level varying from black to white. In a color image the pixels have color values and luminance values, both of which being pixel values. The color values can include the values of any components in a representation of the color by a vector. Figure 3 shows digital image 24A in the form of an array of pixels 26. Each pixel is associated with one or more pixel values, which in the example shown in Figure 3 are luminance values from 0 to 15.
The digital image 24 shown in Figure 2 includes thousands of pixels.
The digital image 24A represented in Figure 3 includes 225 pixels. The invention preferably is used for images having pixels numbering in the millions.
Therefore, the description herein is necessarily a simplistic discussion of the utility of the tnventton.
According to a preferred embodiment of the invention numerous candidate points are located within the original image. Signature points are selected from among the candidate points and are altered to form a signature.
The signature is a pattern of any number of signature points. In a preferred embodiment, the signature is a binary number between 16 and 32 bits in length.
The signature points may be anywhere within an image, but are preferably chosen to be as inconspicuous as possible. Preferably, the number of signature points is much greater than the number of bits in a signature. This allows the signature to be redundantly encoded in the image. Using a 16 to 32 bit signature, 50-200 signature points are preferable to obtain multiple signatures for the image.
A preferred embodiment of the invention locates candidate points by finding relative maxima and minima, collectively referred to as extrema, in the image. The extrema represent local extremes of luminance or color. Figure 4 shows what is meant by relative extrema. Figure 4 is a graphical representation of the pixel values of a small portion of a digital image. The vertical axis of the '~~Lfl~~'~~
graph shows pixel values while the horizontal axis shows pixel positions along a single line of the digital image. Small undulations in pixel values, indicated at 32, represent portions of the digital image where only small changes in luminance or color occur between pixels. A relative maximum 34 represents a pixel that has the ~ highest pixel value for a given area of the image. Similarly, a relative minimum 36 represents a pixel that has the lowest pixel value for a given area of the image.
Relative extrema are preferred signature points for two major reasons. First, they are easily located by simple, well known processing.
Second, they allow signature points to be encoded very inconspicuously.
One of the simplest methods to determine relative extrema is to use a "Difference of Averages" technique. This technique employs predetermined neighborhoods around each pixel 26; a small neighborhood 28 and a large neighborhood 30, as shown in Figures 2 and 3. In the present example the neighborhoods are square for simplicity, but a preferred embodiment employs circular neighborhoods. The technique determines the difference between the average pixel value in the small neighborhood and the average pixel value of the large neighborhood. If the difference is large compared to the difference for surrounding pixels then the first pixel value is a relative maxima or minima.
Using the image of Figure 3 as an example, the Difference of Averages for the pixel 26A is determines as follows. The pixel values within the 3x3 pixel small neighborhood 28A add up to 69; dividing by 9 pixels gives an average of 7.67. The pixel values within the Sx~ pixel large neighborhood 30A
add up to 219; dividing by 25 pixels gives an average of 8.76 and a Difference of Averages of -1.09. Similarly, the average in small neighborhood 28G is 10.0;
the average in large neighborhood 30G is 9.8; the Difference of Averages for pixel 26G is therefore 0.2. Similar computations on pixels 26B-26F produce the following table:
Small Neighborhood I 7.67 10.6 12.89 14.11 13.11 11.36 10.0 Large Neighborhood ~ 8.76 10.56 12.0 12.52 12.2 11.36 9.8 Difference of Averages -1.09 0.0 0.89 1.~9 0.59 0.2 0.2 Based on pixels 26A-26G, there may be a relative maximum at pixel 26D, whose Difference of Averages of 1.~9 is greater than the Difference of Averages for the other examined pixels in the row. To determine whether pixel 26D is a relative maximum rather than merely a small undulation, its Difference of Averages must 2~fl~.~a'~a be compared with the Difference of Averages for the pixels surrounding it in a larger area.
Preferably, extrema within 10% of the image size of any side are not used as signature points. This protects against loss of signature points caused by the practice of cropping the border area of an image. It is also preferable that relative extrema that are randomly and widely spaced are used rather than those that appear in regular patterns.
Using the Difference of Averages technique or other known techniques, a large number of extrema are obtained, the number depending on the pixel density and contrast of the image. Of the total number of extrema found, a preferred embodiment chooses 50 to 200 signature points. This may be done manually by a user choosing with the keyboard 16, mouse 18, or other pointing device each signature point from among the extrema displayed on the display monitor 14. The extrema may be displayed as a digital image with each point chosen by using the mouse or other pointing device to point to a pixel or they may be displayed as a list of coordinates which are chosen by keyboard, mouse, or other pointing device. Alternatively, the computer 12 can be programmed to choose signature points randomly or according to a preprogrammed pattern.
One bit of binary data is encoded in each signature point in the image by adjusting the pixel values at and surrounding the point. The image is modified by making a small, preferably 2%-10% positive or negative adjustment in the pixel value at the exact signature point, to represent a binary zero or one.
The pixels surrounding each signature point, in approximately a ~ x 5 to 10 x grid, are preferably adjusted proportionally to ensure a continuous transition to the new value at the signature point. A number of bits are encoded in the signature points to form a pattern which is the signature for the image.
In a preferred embodiment, the signature is a pattern of all of the signature points. When auditing a subject image, if a statistically significant number of potential signature points in the subject image match corresponding signature points in the signed image, then the subject image is deemed to be derived from the signed image. A statistically significant number is somewhat less than 100%, but enough to be reasonably confident that the subject image was derived from the signed image.
In an alternate embodiment, the signature is encoded using a redundant pattern that distributes it among the signature points in a manner that can be reliably retrieved using only a subset of the points. One embodiment simply encodes a predetermined number of exact duplicates of the signature.
Other redundant representation methods, such as an error-correcting code, may also be used.
In order to allow future auditing of images to determine whether they match the signed image, the signature is stored in a database in which it is associated with the original image. The signature can be stored by associating the bit value of each signature point together with x-y coordinates of the signature point. The signature may be stored separately or as part of the signed image.
The signed image is then distributed in digital form.
f1s discussed above, the signed image may be transformed and manipulated to form a derived image. The derived image is derived from the signed image by various transformations, such as resizing, rotating, adjusting color, brightness and/or contrast, cropping and converting to print or film. The derivation may take place in multiple steps or processes or may simply be the copying of the signed image directly.
It is assumed that derivations of these images that an owner wishes to track include only applications which substantially preserve the resolution and general quality of the image. While a size reduction by 90%, a significant color alteration or distinct-pixel-value reduction may destroy the signature, they also reduce the image's significance and value such that no auditing is desired.
In order to audit a subject image according to a preferred embodiment, a user identifies the original image of which the subject image is suspected of being a duplicate. For a print or film image, the subject image is scanned to create a digital image file. For a digital image, no scanning is necessary. The subject digital image is normalized using techniques as described below to the same size, and same overall brightness, contrast and color profile as the unmodified original image. The subject image is analyzed by the method described below to extract the signature, if present, and compare it to any signatures stored for that image.
The normalization process involves a sequence of steps to undo transformations previously made to the subject image, to return it as close as possible to the resolution and appearance of the original image. It is assumed that the subject image has been manipulated and transformed as described above. To align the subject image with the original image, a preferred embodiment chooses three or more points from the subject image which correspond to points in the original image. The three or more points of the subject image are aligned with the corresponding points in the original image. The points of the subject image not selected are rotated and resized as necessary to accommodate the alignment of the points selected.
For example, Figure 5 shows a digital subject image 3$ that is smaller than the original image 24 shown in Figure ?. To resize the subject image, a user points to three points such as the mouth 40B, ear 42B and eye 44B of the subject image using the mouse 18 or other pointer. Since it is usually difficult to accurately point to a single pixel, the computer selects the nearest extrema to the pixel pointed to by the user. The user points to the mouth 40A, ear 4ZA, and eye 34A of the original image. 'The computer 12 resizes and rotates the subject image L0 as necessary to ensure that points 40B, 42B, and 44B are positioned with respect to each other in the same way that poines 40A, 42A, and 34A are positioned with respect to each other in the original image. The remaining pixels are repositioned in proportion to the repositioning of points 40B, 4~B and 44B. By aligning three points the entire subject image is aligned with the original image without having to align each pixel independently.
After the subject image is aligned, the next step is to normalize the brightness, contrast and/or color of the subject image. Normalizing involves adjusting pixel values of the subject image to match the value-distribution profile of the original image. This is accomplished by a technique analogous to that used :?0 to align the subject image. A subset of the pixels in the subject image are adjusted to equal corresponding pixels in the original image. The pixels not in the subset are adjusted in proportion to the adjustments made to the pixels in the subset.
The pixels of the subject image corresponding to the signature points should not be among the pixels in the subset. Otherwise any signature points in the subject ~5 image will be hidden from detection when they are adjusted to equal corresponding pixels in the original image.
In a preferred embodiment, the subset includes the brightest and darkest pixels of the subject image. These pixels are adjusted to have luminance values equal to the luminance values of corresponding pixels in the original image.
30 To ensure that any signature points can be detected, no signature points should be selected during the signature embedding process described above that are among the brightest and darkest pixels of the original image. For example, one could use pixels among the brightest and darkest 3~'o for the adjusting subset, after selecting signature points among less than the brightest and darkest 5% to ensure that there 35 is no overlap.
When the subject image is fully normalized, it is preferably compared to the original image. One way to compare images is to subtract one image from the other. The result of the subtraction is a digital image that includes any signature points that were present in the subject image. These signature points, if any, are compared to the stored signature points for the signed image. If the signature points do not match, then the subject image is not an image derived from the signed image, unless the subject image was changed substantially from the signed image.
In an alternative embodiment, the normalized subject image is compared directly with the signed image instead of subtracting the subject image from the original image. This comparison involves subtracting the subject image from the signed image. If there is little or no image resulting from the subtraction, they the subject image equals to the signed image, and therefore has been derived from the signed image.
In another alternate embodiment, instead of normalizing the entire subject image, only a section of the subject image surrounding each potential signature point is normalized to be of the same general resolution and appearance as a corresponding section of the original image. This is accomplished by selecting each potential signature point of the subject image and selecting sections surrounding each potential signature point. The normalization of each selected section proceeds according to methods similar to those disclosed above for normalizing the entire subject image.
Normalizing each selected section individually allows each potential signature point of the subject image to be compared directly with a corresponding signature point of the signed image. Preferably, an average is computed for each potential signature point by averaging she pixel value of the potential signature point with the pixel values of a plurality of pixels surrounding the potential signature point. The average computed for each signature is compared directly with a corresponding signature point of the signed image.
While the methods of normalizing and extracting a signature from a subject image as described above are directed to luminance values, similar methods may be used for color values. Instead of or in addition to normalizing by altering luminance values, the color values of the subject image can also be adjusted to equal corresponding color values in an original color image.
However, it is not necessary to adjust color values in order to encode a signature in or extract a signature from a color image. Color images use pixels having pixel values that include luminance values and color values. A digital signature can be encoded in any pixel values regardless of whether the pixel values are luminance values, color values, or any other type of pixel values. Luminance values are 2~.p1~"~
preferred because alterations may be made more easily to luminance values without the alterations being visible to the human eye.
From the foregoing it will be appreciated that, although specific embodiments of the invention have been described herein for purposes of 5 illustration, various modifications may be made withaut deviating from the spirit and scope of the invention. Accordingly, the invention is not limited except as by the appended claims.
Claims (32)
1. A method of encoding an N-bit binary number within a source signal, N
being at least one, the source signal being comprised of samples, each having a binary value, the method including:
increasing the values of certain source signal samples;
decreasing the values of other source signal samples;
the foregoing steps changing the values of more than N samples, wherein redundant encoding of at least part of said N-bit binary number is effected.
being at least one, the source signal being comprised of samples, each having a binary value, the method including:
increasing the values of certain source signal samples;
decreasing the values of other source signal samples;
the foregoing steps changing the values of more than N samples, wherein redundant encoding of at least part of said N-bit binary number is effected.
2. A method of encoding a plural bit binary number within a source signal, the source signal being comprised of samples, each having a binary value, the method including, for each bit of the plural bit binary number:
mapping said bit to at least one sample of the source signal;
changing the value of said source signal sample in accordance with the bit of the plural bit binary number; and also changing the values of at least two adjoining source signal samples in accordance with said bit of the plural bit binary number;
wherein changes to the source signal are effected in groups of samples, yielding a more robust encoding that better withstands corruption of the encoded source signal.
mapping said bit to at least one sample of the source signal;
changing the value of said source signal sample in accordance with the bit of the plural bit binary number; and also changing the values of at least two adjoining source signal samples in accordance with said bit of the plural bit binary number;
wherein changes to the source signal are effected in groups of samples, yielding a more robust encoding that better withstands corruption of the encoded source signal.
3. In a method of encoding a plural bit binary number within a source signal, the source signal being comprised of samples, each having a binary value, the method including--for each bit of the plural bit binary number--changing the value of a source signal sample in accordance therewith, an improvement comprising employing a random function to randomize the locations within the source signal at which said bits of the plural bit binary number change said values of the source signal samples.
4. A method of encoding a plural bit binary number within a source signal, the source signal representing image data, the method including:
evaluating data hiding characteristics of plural locations in the source signal;
and encoding the plural bit binary number in the source signal, avoiding the locations that have poor data hiding characteristics;
wherein the plural bit binary number is encoded where it is relatively less perceptible.
evaluating data hiding characteristics of plural locations in the source signal;
and encoding the plural bit binary number in the source signal, avoiding the locations that have poor data hiding characteristics;
wherein the plural bit binary number is encoded where it is relatively less perceptible.
5. A method of encoding a plural bit binary number within a source signal, the source signal representing image data, the method including:
identifying portions of the source signal having a predetermined data hiding attribute; and changing the source signal in at least certain of said portions to effect encoding of the plural bit binary number therein;
wherein the plural bit binary number is encoded where it is relatively less perceptible.
identifying portions of the source signal having a predetermined data hiding attribute; and changing the source signal in at least certain of said portions to effect encoding of the plural bit binary number therein;
wherein the plural bit binary number is encoded where it is relatively less perceptible.
6. A method of encoding a plural bit binary number within a source signal, the source signal representing an image and including plural pixels, the method comprising:
pseudo-randomly identifying plural signature point pixels within the image;
for a selected first group of said signature point pixels, increasing values of said pixels, and pixels in a region associated therewith; and for a second group of said signature point pixels, distinct from the first, decreasing values of said pixels, and pixels in a region associated therewith;
wherein said selected increasing and decreasing of pixel values at said signature points and in the regions associated therewith serves to mark the image for later identification.
pseudo-randomly identifying plural signature point pixels within the image;
for a selected first group of said signature point pixels, increasing values of said pixels, and pixels in a region associated therewith; and for a second group of said signature point pixels, distinct from the first, decreasing values of said pixels, and pixels in a region associated therewith;
wherein said selected increasing and decreasing of pixel values at said signature points and in the regions associated therewith serves to mark the image for later identification.
7. In a method of marking an image to encode a plural bit binary number therein, the method including changing the image at plural points thereof, an improvement comprising defining a bounding area within which certain changes to the image are to be confined, said bounding area being less than the entirety of the image, and only making said certain changes within said area.
8. In a method of marking an image to encode a plural bit binary number therein, the method including changing the image at plural points thereof, an improvement wherein the image is comprised of pixels, and the method includes randomly selecting pixels where changes are to be made.
9. In a method of marking an image to encode a plural bit binary number therein, the method including changing the image at plural points thereof, an improvement wherein the image is comprised of pixels, the changes increase or decrease a value of a signature pixel at each said point, and the method further includes increasing or decreasing the value of each pixel adjoining said signature pixels to correspond to the change of the signature pixel adjacent thereto.
10. A method of marking an image to encode a plural bit binary number therein, said data facilitating later identification of said image, the method comprising:
randomly selecting plural signature points in the image;
increasing a value of the image at a first subset of said randomly selected signature points, and at points surrounding said randomly selected signature points;
decreasing a value of the image at a second subset of said randomly selected signature points, and at points surrounding said randomly selected signature points.
randomly selecting plural signature points in the image;
increasing a value of the image at a first subset of said randomly selected signature points, and at points surrounding said randomly selected signature points;
decreasing a value of the image at a second subset of said randomly selected signature points, and at points surrounding said randomly selected signature points.
11. A method of processing an image encoded as points, each point having a parameter value, the method comprising:
identifying plural points within the image;
increasing the parameter value of each of a first group of said identified points, and also increasing the parameter values of a first neighborhood of points surrounding each such point; and decreasing the parameter value of each of a second group of said identified points and also decreasing the parameter values of a second neighborhood of points surrounding each such point.
identifying plural points within the image;
increasing the parameter value of each of a first group of said identified points, and also increasing the parameter values of a first neighborhood of points surrounding each such point; and decreasing the parameter value of each of a second group of said identified points and also decreasing the parameter values of a second neighborhood of points surrounding each such point.
12. Apparatus for embedding data in an image, the apparatus comprising:
a computer memory for storing the image as an ordered set of pixels, each pixel having a pixel parameter value;
means for identifying plural points within the image; and image altering means for increasing the parameter value of each of a first group of said identified points, and also for increasing the parameter values of a first neighborhood of points surrounding each such point;
said imago altering means further decreasing the parameter value of each of a second group of said identified points, and also for decreasing the parameter values of a second neighborhood of points surrounding each such point.
a computer memory for storing the image as an ordered set of pixels, each pixel having a pixel parameter value;
means for identifying plural points within the image; and image altering means for increasing the parameter value of each of a first group of said identified points, and also for increasing the parameter values of a first neighborhood of points surrounding each such point;
said imago altering means further decreasing the parameter value of each of a second group of said identified points, and also for decreasing the parameter values of a second neighborhood of points surrounding each such point.
13. A method of processing an original source signal to yield an encoded source signal having a plural bit binary number hidden therein, the original source signal having a representation including plural elements, each having a parameter value, the method including changing the parameter values of said elements to encode the plural bit binary number therein, and scaling a magnitude of said changes in accordance with said parameter values, wherein elements of the source signal representation having larger parameter values are changed relatively more than elements of the source signal representation having smaller parameter values.
14. A method of encoding N bits of first data, N being at least one, within a work of authorship represented by plural elements of second data, each element having a value, the method including, for each bit of the first data:
mapping said bit to at least one element of the second data by a process that includes a random function; and changing the value of said at least one element of the second data;
wherein changes to the work of authorship are essentially human imperceptible.
mapping said bit to at least one element of the second data by a process that includes a random function; and changing the value of said at least one element of the second data;
wherein changes to the work of authorship are essentially human imperceptible.
15. A method of encoding a plural bit binary number within a source signal, the method including:
evaluating data hiding characteristics of plural locations in the source signal;
and encoding the plural bit binary number in the source signal, avoiding the locations that have poor data hiding characteristics;
wherein the plural bit binary number is encoded where it is relatively less perceptible, said encoding resulting in changes to the source signal that are so slight as to be essentially imperceptible to humans.
evaluating data hiding characteristics of plural locations in the source signal;
and encoding the plural bit binary number in the source signal, avoiding the locations that have poor data hiding characteristics;
wherein the plural bit binary number is encoded where it is relatively less perceptible, said encoding resulting in changes to the source signal that are so slight as to be essentially imperceptible to humans.
16. A method of encoding a plural bit binary number within an image represented by a set of data, the method including:
evaluating data hiding characteristics of different portions of said set of data;
and encoding the plural bit binary number in the set of data, avoiding the portions that have poor data hiding characteristics;
wherein the plural bit binary number is encoded where it is relatively less perceptible, said encoding resulting in changes to the image that are so slight as to be essentially imperceptible to humans.
evaluating data hiding characteristics of different portions of said set of data;
and encoding the plural bit binary number in the set of data, avoiding the portions that have poor data hiding characteristics;
wherein the plural bit binary number is encoded where it is relatively less perceptible, said encoding resulting in changes to the image that are so slight as to be essentially imperceptible to humans.
17. A method of encoding a plural bit binary number within an image represented by a set of data, the method including:
identifying portions of the set of data having a predetermined data hiding attribute; and changing the set of data in at least certain of said portions to effect encoding of the plural bit binary number therein;
wherein the plural bit binary number is encoded where it is relatively less perceptible, said encoding resulting in changes to the image that are so slight as to be essentially imperceptible to humans.
identifying portions of the set of data having a predetermined data hiding attribute; and changing the set of data in at least certain of said portions to effect encoding of the plural bit binary number therein;
wherein the plural bit binary number is encoded where it is relatively less perceptible, said encoding resulting in changes to the image that are so slight as to be essentially imperceptible to humans.
18. A method of encoding a plural bit binary number within a source signal, N
being at least one, the method including:
identifying portions of the source signal having a predetermined data hiding attribute; and changing the source signal in at least certain of said portions to effect encoding of the plural bit binary number therein;
wherein the plural bit binary number is encoded where it is relatively less perceptible, said encoding resulting in changes to the source signal that are so slight as to be essentially imperceptible to humans.
being at least one, the method including:
identifying portions of the source signal having a predetermined data hiding attribute; and changing the source signal in at least certain of said portions to effect encoding of the plural bit binary number therein;
wherein the plural bit binary number is encoded where it is relatively less perceptible, said encoding resulting in changes to the source signal that are so slight as to be essentially imperceptible to humans.
19. A method of image signature processing of an original image having pixels with pixel values, the pixel values including a plurality of pixel values intermediate to minimum and maximum pixel values, comprising:
locating a plurality of candidate points from among the pixels of the original image;
selecting a first plurality of signature points from among the candidate points;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values; and digitally storing the signature in a database for future identification.
locating a plurality of candidate points from among the pixels of the original image;
selecting a first plurality of signature points from among the candidate points;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values; and digitally storing the signature in a database for future identification.
20. A method of image signature processing of an original image having pixels with pixel values, comprising:
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values; and digitally storing the signature in a database for future identification.
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values; and digitally storing the signature in a database for future identification.
21. A method of image signature processing of an original image having pixels with pixel values, comprising:
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values;
storing the signature for future identification; and locating relative extrema in the original image, wherein the selecting step includes selecting the signature points from among the extrema.
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values;
storing the signature for future identification; and locating relative extrema in the original image, wherein the selecting step includes selecting the signature points from among the extrema.
22. A method of image signature processing of an original image having pixels with pixel values, comprising:
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values;
storing the signature for future identification;
selecting a second plurality of signature points from among the pixels of the original image; and adjusting the pixel values of the second plurality of signature points to form a redundant signature for the signed image.
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values;
storing the signature for future identification;
selecting a second plurality of signature points from among the pixels of the original image; and adjusting the pixel values of the second plurality of signature points to form a redundant signature for the signed image.
23. A method of image signature processing of an original image having pixels with pixel values, comprising:
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values; and storing the signature for future identification, wherein the digital image has a border surrounding the image and the pixels whose values adjusted are selected so as not to be within a predetermined distance from the border.
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values; and storing the signature for future identification, wherein the digital image has a border surrounding the image and the pixels whose values adjusted are selected so as not to be within a predetermined distance from the border.
24. A method of image signature processing of an original image having pixels with pixel values, comprising:
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values;
storing the signature for future identification; and adjusting a plurality of pixel values surrounding the signature points to provide smooth transitions to the adjusted pixel values at the signature points.
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values;
storing the signature for future identification; and adjusting a plurality of pixel values surrounding the signature points to provide smooth transitions to the adjusted pixel values at the signature points.
25. A method of image signature processing of an original image having pixels with pixel values, comprising:
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values;
storing the signature for future identification; and analyzing whether a digital subject image constitutes or is derived from a signed image having pixel values that were earlier adjusted to form a signature wherein the analyzing step includes normalizing the subject image.
selecting a first plurality of signature points from among the pixels of the original image;
forming a signature by adjusting the pixel values of the signature points within the original image, thereby resulting in a signed image that includes the signature and pixel values of the original image that have not been adjusted to form the signature, the signed image including a plurality of pixel values intermediate to the minimum and maximum pixel values;
storing the signature for future identification; and analyzing whether a digital subject image constitutes or is derived from a signed image having pixel values that were earlier adjusted to form a signature wherein the analyzing step includes normalizing the subject image.
26. A method of encoding a plural bit binary number within a digital image so that the encoding data is substantially imperceptible, each of said bits of the plural bit binary number having first or second values, wherein:
the digital image is presented as rows of pixels, each pixel having at least a luminance value and a color value associated therewith;
the encoding comprises increasing the luminance values of at least certain of said presented pixels;
the encoding further comprises decreasing the luminance values of at least certain others of said presented pixels;
and wherein a change of a single of said N-bits of the plural bit binary number between said first and second values is manifested as changed luminance in plural non-contiguous pixels Located in plural non-contiguous rows of said digital image.
the digital image is presented as rows of pixels, each pixel having at least a luminance value and a color value associated therewith;
the encoding comprises increasing the luminance values of at least certain of said presented pixels;
the encoding further comprises decreasing the luminance values of at least certain others of said presented pixels;
and wherein a change of a single of said N-bits of the plural bit binary number between said first and second values is manifested as changed luminance in plural non-contiguous pixels Located in plural non-contiguous rows of said digital image.
27. A method of encoding a plural bit binary number within a digital image so that the encoded data is substantially imperceptible, each of said bits of the plural bit binary number having first or second values, wherein:
the digital image is presented as rows and columns of pixels, each pixel having at least a luminance value and a color value associated therewith;
the encoding includes analyzing plural M-row by M-column areas of pixels for a data hiding attribute, and encoding in accordance with the results of said analysis;
said encoding resulting in increased luminance values for at least certain of said pixels; and said encoding resulting in decreased luminance values for at least certain others of said pixels.
the digital image is presented as rows and columns of pixels, each pixel having at least a luminance value and a color value associated therewith;
the encoding includes analyzing plural M-row by M-column areas of pixels for a data hiding attribute, and encoding in accordance with the results of said analysis;
said encoding resulting in increased luminance values for at least certain of said pixels; and said encoding resulting in decreased luminance values for at least certain others of said pixels.
28. The method of claim 27 where 5 < = M < = 10.
29. A method of encoding a plural bit binary number within a digital image so that the encoded data is substantially imperceptible, each of said bits of the plural bit binary number having first or second values, the digital image being presented for display as rows and columns of pixels, characterized in that the encoding is area-based, with each area spanning M contiguous rows and M contiguous columns of pixels, where M is at least five.
30. A method for encoding a signature into a digital image, the encoding making changes too slight to be visible to the human eye, the method comprising:
providing said digitized image comprised of a plurality of pixels, wherein each of said pixels includes brightness data that represents a brightness of at least one color; and multiplying said brightness data associated with at least one of said pixels by a predetermined brightness multiplying factor, said brightness multiplying factor, "mf", is selected from the group consisting of (0.9 < "mf" < 1), and (1 < "mf"
< = 1.1).
providing said digitized image comprised of a plurality of pixels, wherein each of said pixels includes brightness data that represents a brightness of at least one color; and multiplying said brightness data associated with at least one of said pixels by a predetermined brightness multiplying factor, said brightness multiplying factor, "mf", is selected from the group consisting of (0.9 < "mf" < 1), and (1 < "mf"
< = 1.1).
31. A method for encoding a signature into a digital image, the encoding making changes too slight to be visible to the human eye, the digitized image having a plurality of original elements having original brightnesses, said method comprising:
for each of plural pixels in the image, providing a brightness multiplying factor corresponding thereto; and for each of said plural pixels, multiplying the original brightness thereof by said brightness multiplying factor corresponding thereto to yield encoded pixel brightnesses.
for each of plural pixels in the image, providing a brightness multiplying factor corresponding thereto; and for each of said plural pixels, multiplying the original brightness thereof by said brightness multiplying factor corresponding thereto to yield encoded pixel brightnesses.
32. A method of marking a work of authorship to encode a plural-bit code therein, the work being represented as a set of plural data elements, the method including selecting data elements to be changed to effect said marking based not just on the values of individual data elements, but on an attribute of a neighborhood of data elements, said neighborhood being comprised of data elements having substantially non-uniform values.
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