CA2538832A1 - Technique for simulating film grain using frequency filtering - Google Patents
Technique for simulating film grain using frequency filtering Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/46—Embedding additional information in the video signal during the compression process
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/001—Texturing; Colouring; Generation of texture or colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/10—Image enhancement or restoration by non-spatial domain filtering
-
- G06T5/70—
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/41—Bandwidth or redundancy reduction
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
- H04N19/86—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving reduction of coding artifacts, e.g. of blockiness
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
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- G—PHYSICS
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- G06T2207/20021—Dividing image into blocks, subimages or windows
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20052—Discrete cosine transform [DCT]
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20204—Removing film grain; Adding simulated film grain
Abstract
Simulation of film grain in an image can occur by compressing a video image, then transmitting compressed video together with a message containing at lea st one parameter indicative of the original film grain, to a decoder, and restoring the original grainy appearance of images by having the decoder simulating film grain based on the content of the film grain message. To improve efficiency, one or more parameters of film grain information undergo scaling in accordance with a target pixel block size for pixel blocks in the image. Such scaling allows for the use of conventional circuitry for performing block-based operations in connection with the film grain simulati on.
Description
TECHNIQUE FOR SIMULATING FILM GRAIN USING FREQUENCY FILTERING
CROSS-REFERENCE TO RELATED APPLICATIONS
This application claims priority under 35 U.S.C. 119(e) to U.S. Provisional Patent Application~Serial No. 60/505,260, filed on September 23, 2003, the teachings of which are incorporated herein. ' TECHNICAL FIELD
This invention relates to a technique for simulating film grain in a coded image following decoding.
BACKGROUND ART
Motion picture films comprise silver-halide crystals dispersed in an emulsion, which is coated in thin layers on a film base. The exposure and development of these crystals form the photographic image consisting of discrete tiny particles of silver. In color negatives, tiny blobs of dye occur on the sites where the silver crystals form following chemical removal of the silver during development of the film stock. These small specks of dye commonly bear the label 'grain' in color film. Grain appears randomly distributed on the resulting image because of the random formation of silver crystals on the original emulsion.
Within a uniformly exposed area, some crystals develop after exposure while others do not.
Grain varies in size and shape. The faster the film, the larger the clumps of silver formed and blobs of dye generated, and the more they tend to group together in random patterns. The term "granularity" typically refers to the grain pattern. The naked eye cannot distinguish individual grains, which vary from 0.0002 mm to about 0.002 mm.
Instead, the eye resolves groups of grains, referred to as blobs. A viewer identifies these groups of blobs as film grain. As the image resolution becomes larger, the perception of the film grain becomes higher. Film grain becomes clearly noticeable on cinema and high-definition images, whereas film grain progressively loses importance in Standard Definition Television (SDTV) and becomes imperceptible in smaller formats.
CROSS-REFERENCE TO RELATED APPLICATIONS
This application claims priority under 35 U.S.C. 119(e) to U.S. Provisional Patent Application~Serial No. 60/505,260, filed on September 23, 2003, the teachings of which are incorporated herein. ' TECHNICAL FIELD
This invention relates to a technique for simulating film grain in a coded image following decoding.
BACKGROUND ART
Motion picture films comprise silver-halide crystals dispersed in an emulsion, which is coated in thin layers on a film base. The exposure and development of these crystals form the photographic image consisting of discrete tiny particles of silver. In color negatives, tiny blobs of dye occur on the sites where the silver crystals form following chemical removal of the silver during development of the film stock. These small specks of dye commonly bear the label 'grain' in color film. Grain appears randomly distributed on the resulting image because of the random formation of silver crystals on the original emulsion.
Within a uniformly exposed area, some crystals develop after exposure while others do not.
Grain varies in size and shape. The faster the film, the larger the clumps of silver formed and blobs of dye generated, and the more they tend to group together in random patterns. The term "granularity" typically refers to the grain pattern. The naked eye cannot distinguish individual grains, which vary from 0.0002 mm to about 0.002 mm.
Instead, the eye resolves groups of grains, referred to as blobs. A viewer identifies these groups of blobs as film grain. As the image resolution becomes larger, the perception of the film grain becomes higher. Film grain becomes clearly noticeable on cinema and high-definition images, whereas film grain progressively loses importance in Standard Definition Television (SDTV) and becomes imperceptible in smaller formats.
-2-Motion picture film typically contains image-dependent noise resulting either from the physical process of exposure and development of the photographic film or from the .
subsequent editing of the images. Photographic film possesses a characteristic quasi-random pattern, or texture, resulting from physical granularity of the photographic emulsion.
Alternatively, simulation of similar pattern can occur in computed-generated images in order to blend them with photographic film. In both cases; this image-dependent noise bears the designation of "film grain." Quite often, moderate grain texture presents a desirable feature in motion pictures. In some instances, the film grain provides visual cues that facilitate, the correct perception of two-dimensional pictures. Film grade often varies within a single film to provide various clues as to time reference, point of view, etc. Many other technical and artistic demands exist for controlling grain texture in the motion picture industry. Therefore, preserving the grainy appearance of images throughout image processing and delivery chain has become a requirement in the motion picture industry.
Several commercially available products have the capability of simulating film grain, often for blending a computer-generated object into natural scene: Cineon~
from Eastman Kodak Co, Rochester New York, one of the first digital film applications to implement grain simulation, produces very realistic results for many grain types. However, the Cineon~
application does not yield good performance for many high speed films because of the noticeable diagonal stripes the application produces for high grain size settings. Further, the Cineon~ application fails to simulate grain with adequate fidelity when images become subject to prior processing, for example, such as when the images are copied or digitally processed.
Another commercial product that simulates. film grain is Grain SurgeryTM from Visual Infinity Inc., which is used as a plug-in of Adobe ~ After Effects ~. The Grain SurgeryTM
product appears to generate synthetic grain by filtering a set of random numbers. This approach suffers from disadvantage of a high computational complexity. , Film grain simulation continues to remain a topic of interest. Recently, the H.264 Video Compression standard underwent amendment to adopt a standard Supplemental Enhancement Information (SEI) message specifying film grain simulation parameters. The adoption of a specific format film grain SEI message will greatly facilitate the development of decoders for simulating film grain using a technique recently disclosed by the assignee of the instant application for simulating film grain. The technique developed by applicants' assignee simulates film grain by (1) first filtering grain out of images before compression, then (2)
subsequent editing of the images. Photographic film possesses a characteristic quasi-random pattern, or texture, resulting from physical granularity of the photographic emulsion.
Alternatively, simulation of similar pattern can occur in computed-generated images in order to blend them with photographic film. In both cases; this image-dependent noise bears the designation of "film grain." Quite often, moderate grain texture presents a desirable feature in motion pictures. In some instances, the film grain provides visual cues that facilitate, the correct perception of two-dimensional pictures. Film grade often varies within a single film to provide various clues as to time reference, point of view, etc. Many other technical and artistic demands exist for controlling grain texture in the motion picture industry. Therefore, preserving the grainy appearance of images throughout image processing and delivery chain has become a requirement in the motion picture industry.
Several commercially available products have the capability of simulating film grain, often for blending a computer-generated object into natural scene: Cineon~
from Eastman Kodak Co, Rochester New York, one of the first digital film applications to implement grain simulation, produces very realistic results for many grain types. However, the Cineon~
application does not yield good performance for many high speed films because of the noticeable diagonal stripes the application produces for high grain size settings. Further, the Cineon~ application fails to simulate grain with adequate fidelity when images become subject to prior processing, for example, such as when the images are copied or digitally processed.
Another commercial product that simulates. film grain is Grain SurgeryTM from Visual Infinity Inc., which is used as a plug-in of Adobe ~ After Effects ~. The Grain SurgeryTM
product appears to generate synthetic grain by filtering a set of random numbers. This approach suffers from disadvantage of a high computational complexity. , Film grain simulation continues to remain a topic of interest. Recently, the H.264 Video Compression standard underwent amendment to adopt a standard Supplemental Enhancement Information (SEI) message specifying film grain simulation parameters. The adoption of a specific format film grain SEI message will greatly facilitate the development of decoders for simulating film grain using a technique recently disclosed by the assignee of the instant application for simulating film grain. The technique developed by applicants' assignee simulates film grain by (1) first filtering grain out of images before compression, then (2)
3 PCT/US2004/030950 transmitting compressed video together with a message containing information about. original grain to a decoder, and (3) restoring the original grainy appearance of images by having the decoder simulating film grain based on the content of the SEI message. This technique provides large bit-rate savings for high quality applications requiring the film grain preservation. However, the technique increases decoder complexity since film grain generation requires the creation of the film grain image by operating on blocks of 16 x 16 pixels, and subsequent deblocking of 16 x 16 block edges~of the film grain image.
Thus, a need exists for a film grain simulation technique that overcomes the prior disadvantages by providing greater efficiency.
BRIEF SUMMARY OF THE INVENTION
Briefly, in accordance with a preferred embodiment of the present principles, a method .
is 'provided for simulating film grain. The method commences upon the receipt of image information and the receipt of film grain information that includes at least one parameter among a set. of possible parameters specifying different attributes of the film grain previously in the image. Using a film grain model, grain simulation occurs in accordance with the at least ;one parameter which is scaled in accordance with a target pixel block.size for pixel blocks in the image. The simulated film grain is then merged into the image.
Scaling the film grain information in accordance with a target pixel block size allows for the use of arbitrary block sizes, which permits the use of conventional hardware elements to perform the block-based operations associated with film grain simulation.
BRIEF DESCRIPTION OF THE DRAWINGS
FIGURE 1 depicts a block schematic diagram of a system for simulating film grain;
FIGURE 2 depicts a flow chart that shows the steps of a method by which the system of FIG. 1 generates film grain information in accordance with a first aspect of the present principles;
FIGURE 3 depicts a flow chart that shows the steps of a method by which the system of FIG. 1 generates film grain information in accordance with a second of the present principles;
Thus, a need exists for a film grain simulation technique that overcomes the prior disadvantages by providing greater efficiency.
BRIEF SUMMARY OF THE INVENTION
Briefly, in accordance with a preferred embodiment of the present principles, a method .
is 'provided for simulating film grain. The method commences upon the receipt of image information and the receipt of film grain information that includes at least one parameter among a set. of possible parameters specifying different attributes of the film grain previously in the image. Using a film grain model, grain simulation occurs in accordance with the at least ;one parameter which is scaled in accordance with a target pixel block.size for pixel blocks in the image. The simulated film grain is then merged into the image.
Scaling the film grain information in accordance with a target pixel block size allows for the use of arbitrary block sizes, which permits the use of conventional hardware elements to perform the block-based operations associated with film grain simulation.
BRIEF DESCRIPTION OF THE DRAWINGS
FIGURE 1 depicts a block schematic diagram of a system for simulating film grain;
FIGURE 2 depicts a flow chart that shows the steps of a method by which the system of FIG. 1 generates film grain information in accordance with a first aspect of the present principles;
FIGURE 3 depicts a flow chart that shows the steps of a method by which the system of FIG. 1 generates film grain information in accordance with a second of the present principles;
-4-FIGURE 4 depicts an example of an 8 x 8 pixel block scaled in accordance with the present principles;
FIGURE SA depicts an example of an 8 x 8 pixel block whose vertical edges only undergo scaling; and . , FIGURE SB depicts an example of an 8 x .8 pixel blocked whose horizontal edges only undergo scaJ~ing.
DETAILED DESCRIPTION
FIGURE 1 depicts a block schematic diagram of a system 10 for simulating film grain in an image. The system 10 comprises a first block 12 for generating film grain information from both an input image 104, and from at least one film grain parameter embodied in a film grain message, such as SEI message 106. The film grain generator block 12 generates film .
grain information from such input information using one of the methods of FIGS. 2 and 3 w described in greater detail below. The film grain information generated by the film grain generator block 12 undergoes deblocking by a film grain deblocking filter 14 before receipt at ,. a blending block 16. The blending block 16 blends the filtered film grain information with the input. image to yield an output image containing film grain.
FIGURE 2 depicts a flow chart illustrating the steps of a method in accordance with a.
first aspect of the present principles for film grain generation. As described in greater detail below, the method of FIG. 2 operates to generate the film grain from Gaussian noise scaled prior to frequency filtering. The film grain generation method of FIG. 2 commences upon execution of step 100 during which the system variables undergo initialization. Following step 100, extraction of successive N x M pixel blocks from the input image 104 occurs, with N and M each being integers greater than zero.
Following step 102, step 105 occurs and a noise generator (not shown) within the film grain generator block 12 of FIG. 1 generates random (Gaussian) noise in accordance with at least one of the film grain parameters contained in the SEI message 106 that accompanies the input image, as scaled in the manner discussed below. As adopted in the H.264 compression standard, the film grain parameters in the SEI message 106 are predicated on a 16 x 16 pixel block. Such a block size does not always afford the greatest convenience in terms of implementation efficiency.
FIGURE SA depicts an example of an 8 x 8 pixel block whose vertical edges only undergo scaling; and . , FIGURE SB depicts an example of an 8 x .8 pixel blocked whose horizontal edges only undergo scaJ~ing.
DETAILED DESCRIPTION
FIGURE 1 depicts a block schematic diagram of a system 10 for simulating film grain in an image. The system 10 comprises a first block 12 for generating film grain information from both an input image 104, and from at least one film grain parameter embodied in a film grain message, such as SEI message 106. The film grain generator block 12 generates film .
grain information from such input information using one of the methods of FIGS. 2 and 3 w described in greater detail below. The film grain information generated by the film grain generator block 12 undergoes deblocking by a film grain deblocking filter 14 before receipt at ,. a blending block 16. The blending block 16 blends the filtered film grain information with the input. image to yield an output image containing film grain.
FIGURE 2 depicts a flow chart illustrating the steps of a method in accordance with a.
first aspect of the present principles for film grain generation. As described in greater detail below, the method of FIG. 2 operates to generate the film grain from Gaussian noise scaled prior to frequency filtering. The film grain generation method of FIG. 2 commences upon execution of step 100 during which the system variables undergo initialization. Following step 100, extraction of successive N x M pixel blocks from the input image 104 occurs, with N and M each being integers greater than zero.
Following step 102, step 105 occurs and a noise generator (not shown) within the film grain generator block 12 of FIG. 1 generates random (Gaussian) noise in accordance with at least one of the film grain parameters contained in the SEI message 106 that accompanies the input image, as scaled in the manner discussed below. As adopted in the H.264 compression standard, the film grain parameters in the SEI message 106 are predicated on a 16 x 16 pixel block. Such a block size does not always afford the greatest convenience in terms of implementation efficiency.
-5-In accordance with the present principles, the film grain parameters in the SEI.
message undergo scaling during step 107 to allow simulation of film grain with block sizes other than 16 x 16 pixels. In practice, the SEI message defines various film .parameters, including, two sets of cut frequencies, namely the horizontal and vertical low cut frequencies and the horizontal and vertical high cut frequencies. To appreciate the manner in which the SEI parameters, and in particular, the horizontal and vertical high cut and low cut frequencies, undergo scaling, let NS x MS represent the original block size (i.e., 16 x 16 pixels), and let Nt x M~ represent the target block size on which the new scaled parameters will operate. The horizontal and vertical high cut frequencies undergo scaling as follows:
ftHH - Cel N' fSHH. (1) NS
fnHV = oei Mt fSHV (2) . .
MS
with the function f ceil(x) returning the smallest integer larger or equal than x, f,HH is the new high horizontal cut frequency and ft'i'' is the new high vertical cut frequency for use with the target block size. This scaling constitutes the equivalent of dividing the original frequency by the ratio of block sizes and rounding up to the nearest integer. Analogously, the horizontal and vertical low cut frequencies undergo scaling as follows:
f'r~' = floo N' fs''" (3) s ftr.v = floo Mt fsw (4) where floor(x) returns the greatest integer smaller or equal than x, f,''~' is the new low horizontal cut frequency and ftw is the new low vertical cut frequency to be used with the target block size. This scaling constitutes the equivalent of dividing the original frequency by the ratio of block sizes and rounding down to the nearest integer.
The above-described rounding yields the most similar film grain on the target block size as compared to the film grain resulting from using the original cut frequency values
message undergo scaling during step 107 to allow simulation of film grain with block sizes other than 16 x 16 pixels. In practice, the SEI message defines various film .parameters, including, two sets of cut frequencies, namely the horizontal and vertical low cut frequencies and the horizontal and vertical high cut frequencies. To appreciate the manner in which the SEI parameters, and in particular, the horizontal and vertical high cut and low cut frequencies, undergo scaling, let NS x MS represent the original block size (i.e., 16 x 16 pixels), and let Nt x M~ represent the target block size on which the new scaled parameters will operate. The horizontal and vertical high cut frequencies undergo scaling as follows:
ftHH - Cel N' fSHH. (1) NS
fnHV = oei Mt fSHV (2) . .
MS
with the function f ceil(x) returning the smallest integer larger or equal than x, f,HH is the new high horizontal cut frequency and ft'i'' is the new high vertical cut frequency for use with the target block size. This scaling constitutes the equivalent of dividing the original frequency by the ratio of block sizes and rounding up to the nearest integer. Analogously, the horizontal and vertical low cut frequencies undergo scaling as follows:
f'r~' = floo N' fs''" (3) s ftr.v = floo Mt fsw (4) where floor(x) returns the greatest integer smaller or equal than x, f,''~' is the new low horizontal cut frequency and ftw is the new low vertical cut frequency to be used with the target block size. This scaling constitutes the equivalent of dividing the original frequency by the ratio of block sizes and rounding down to the nearest integer.
The above-described rounding yields the most similar film grain on the target block size as compared to the film grain resulting from using the original cut frequency values
-6-defined on blocks of 16x 16 pixels. However, any type of rounding (floor, ceil or nearest integer) could also scale both horizontal and vertical cut frequencies.
In the. illustrated embodiment, the .original blocks are 16 x 16 pixels and the target blocks are 8 x ~8 pixels. Under such circumstances, the scaling of the.high cut frequencies can occur as follows: ~~ ..
ftN ~~ ( f''' ,~ 1)» 1 (5) Y
where f~H represents the new high cut frequency. Equation (5) can scale both horizontal and vertical high cut frequencies because source and target blocks are squared.
The scaling of the low cut frequencies becomes:
f~' - f ' »,1 (6) where fr' represents the new low cut frequency. Analogously, equation (6) can scale both horizontal and vertical low cut frequencies.
The parameters of the SEI message can undergo scaling to any desired block size, allowing efficient implementation of the film grain simulation algorithms described previously. In the illustrated embodiment, scaling the film grain parameter values to 8 x 8 pixel blocks, allows the reuse of many- existing integrated circuits for performing hardware accelerated Discrete Cosine Transform (DCT), Inverse Discrete Cosine Transform (IDCT) and other block-based operations.
During step 108, the random noise undergoes scaling to change the pixel values of the N x M pixel block that is already in the final size (for instance, 8x8) to avoid/reduce the complexity of the deblocking process. The scaling that occurs during step 108 takes the form of modifying the variance of the noise with respect to the value (as scaled) specified in the SEI message. Assume that for a given block B, the random noise generated during step 105 has a mean ~. and variance ~. Given the scaling function SB, defined for each pixel of the block B, the scaled pixel value will have the following relationship:
Bscaled(leJ)-(B(1~.~)-~)'S(l~~)+~ (7) where B(i, j) represents the pixel at coordinates (i, j) of block B. Observe that Equation (7) only applies to those pixels where S(i, j) is not 1.
The noise scaling that occurs during step 108 obviates the need for a deblocking filter in order to reduce blocking artifacts. The use of noise scaling to reduce such artifacts makes use of the principle that blocking artifacts arise as a result of uncorrelated pixels across block edges. To reduce such artifacts, the correlation across hock edges has to be increased, which is equivalent to reducing the amount of noise on block edges.
Follow step 108, the scaled random noise undergoes a Discrete Cosine Transform during step 110. Thereafter, the coefficients become frequency filtered during step 112 in accordance with a corresponding filter parameter in the SEI message 106. An Inverse Discrete Cosine Transformation (IDCT) is performed during step 114. During step 116, a check occurs to determine whether additional N x M pixel blocks remain unread.
If no further blocks remain, the resultant noise forms a film grain image 118, and the process ends, during step 120. Otherwise, step 102 and those following it undergo re-execution until no further unread N x M blocks remain from the input image 104.
FIGURE 3 depicts a flow chart illustrating the steps of a method in accordance with a second aspect of the present principles for film grain generation. The film grain generation method of FIG. 3 includes many of the same steps as the method of FIG. 2 arid like numbers appear in FIG 3 to reference like steps. The film grain generation method of FIG: 3 differs from the method of FIG. 2 with regard to the occurrence of noise scaling: As described, the film generation method of FIGURE 2 undertakes noise scaling during step 108 as a prelude to the frequency filtering that occurs during step 112, In contrast, the film generation method of FIG. 3 undertakes noise scaling during step l 15 subsequent to the Inverse Discrete Cosine Transform that occurs during step 114, after the frequency filtering performed during step 112. The scaling operation applied to each pixel of the filtered random noise during step 115 of FIGURE 4 occurs in the equivalent manner prescribed by Equation (7).
Specification of the scaling function can occur a priori or can occur automatically, based on the parameters of the SEI message 106 and on the block size. The scaling function could also adapt to the different sets of parameters specified in the SEI
message. .
In the illustrated implementation, the scaling function reduces the amount of noise on the block edges (to avoid blocking artifacts) while at the same time increasing the amount of noise inside the block in order to keep the same overall amount of noise. With scaling particularized to 8 x 8 pixel blocks, the scaling function can achieve the result shown in FIGURE 4 for pixel block 200. The darkest gray area 202 on the edge of pixel block 200 represents a reduction in the noise (S(i, j) < 1), whereas the lightest gray area 204 inside the block represents an increase in the noise (S(i, j) > 1). The mid gray region 206 represents no change in the noise intensity (S(i, j) = 1).
_g_ The use of the scaling function constitutes a tradeoff between maintaining the film grain appearance (since the parameters of the SEI message are changed) and reducing decoder complexity (i.e., avoid deblocking). In cases where not all block edges are equally relevant, the scaling function could modify only certain edges. On CRT displays, for instance, artifacts on vertical edges appear much more visible than on horizontal edges. Under such circumstancES, reduced noise intensity should occur only on vertical edges 302 of pixel block 300, as shown in FIG. 5A. Under certain circumstance~, the scaling function could modify only horizontal edges 402 of pixel block 400, as illustrated in FIG. 5B. .
The foregoing describes a technique for simulating film grain in.a coded image.
following decoding by scaling the film grain parameters to reduce complexity.
In the. illustrated embodiment, the .original blocks are 16 x 16 pixels and the target blocks are 8 x ~8 pixels. Under such circumstances, the scaling of the.high cut frequencies can occur as follows: ~~ ..
ftN ~~ ( f''' ,~ 1)» 1 (5) Y
where f~H represents the new high cut frequency. Equation (5) can scale both horizontal and vertical high cut frequencies because source and target blocks are squared.
The scaling of the low cut frequencies becomes:
f~' - f ' »,1 (6) where fr' represents the new low cut frequency. Analogously, equation (6) can scale both horizontal and vertical low cut frequencies.
The parameters of the SEI message can undergo scaling to any desired block size, allowing efficient implementation of the film grain simulation algorithms described previously. In the illustrated embodiment, scaling the film grain parameter values to 8 x 8 pixel blocks, allows the reuse of many- existing integrated circuits for performing hardware accelerated Discrete Cosine Transform (DCT), Inverse Discrete Cosine Transform (IDCT) and other block-based operations.
During step 108, the random noise undergoes scaling to change the pixel values of the N x M pixel block that is already in the final size (for instance, 8x8) to avoid/reduce the complexity of the deblocking process. The scaling that occurs during step 108 takes the form of modifying the variance of the noise with respect to the value (as scaled) specified in the SEI message. Assume that for a given block B, the random noise generated during step 105 has a mean ~. and variance ~. Given the scaling function SB, defined for each pixel of the block B, the scaled pixel value will have the following relationship:
Bscaled(leJ)-(B(1~.~)-~)'S(l~~)+~ (7) where B(i, j) represents the pixel at coordinates (i, j) of block B. Observe that Equation (7) only applies to those pixels where S(i, j) is not 1.
The noise scaling that occurs during step 108 obviates the need for a deblocking filter in order to reduce blocking artifacts. The use of noise scaling to reduce such artifacts makes use of the principle that blocking artifacts arise as a result of uncorrelated pixels across block edges. To reduce such artifacts, the correlation across hock edges has to be increased, which is equivalent to reducing the amount of noise on block edges.
Follow step 108, the scaled random noise undergoes a Discrete Cosine Transform during step 110. Thereafter, the coefficients become frequency filtered during step 112 in accordance with a corresponding filter parameter in the SEI message 106. An Inverse Discrete Cosine Transformation (IDCT) is performed during step 114. During step 116, a check occurs to determine whether additional N x M pixel blocks remain unread.
If no further blocks remain, the resultant noise forms a film grain image 118, and the process ends, during step 120. Otherwise, step 102 and those following it undergo re-execution until no further unread N x M blocks remain from the input image 104.
FIGURE 3 depicts a flow chart illustrating the steps of a method in accordance with a second aspect of the present principles for film grain generation. The film grain generation method of FIG. 3 includes many of the same steps as the method of FIG. 2 arid like numbers appear in FIG 3 to reference like steps. The film grain generation method of FIG: 3 differs from the method of FIG. 2 with regard to the occurrence of noise scaling: As described, the film generation method of FIGURE 2 undertakes noise scaling during step 108 as a prelude to the frequency filtering that occurs during step 112, In contrast, the film generation method of FIG. 3 undertakes noise scaling during step l 15 subsequent to the Inverse Discrete Cosine Transform that occurs during step 114, after the frequency filtering performed during step 112. The scaling operation applied to each pixel of the filtered random noise during step 115 of FIGURE 4 occurs in the equivalent manner prescribed by Equation (7).
Specification of the scaling function can occur a priori or can occur automatically, based on the parameters of the SEI message 106 and on the block size. The scaling function could also adapt to the different sets of parameters specified in the SEI
message. .
In the illustrated implementation, the scaling function reduces the amount of noise on the block edges (to avoid blocking artifacts) while at the same time increasing the amount of noise inside the block in order to keep the same overall amount of noise. With scaling particularized to 8 x 8 pixel blocks, the scaling function can achieve the result shown in FIGURE 4 for pixel block 200. The darkest gray area 202 on the edge of pixel block 200 represents a reduction in the noise (S(i, j) < 1), whereas the lightest gray area 204 inside the block represents an increase in the noise (S(i, j) > 1). The mid gray region 206 represents no change in the noise intensity (S(i, j) = 1).
_g_ The use of the scaling function constitutes a tradeoff between maintaining the film grain appearance (since the parameters of the SEI message are changed) and reducing decoder complexity (i.e., avoid deblocking). In cases where not all block edges are equally relevant, the scaling function could modify only certain edges. On CRT displays, for instance, artifacts on vertical edges appear much more visible than on horizontal edges. Under such circumstancES, reduced noise intensity should occur only on vertical edges 302 of pixel block 300, as shown in FIG. 5A. Under certain circumstance~, the scaling function could modify only horizontal edges 402 of pixel block 400, as illustrated in FIG. 5B. .
The foregoing describes a technique for simulating film grain in.a coded image.
following decoding by scaling the film grain parameters to reduce complexity.
Claims (18)
1. A method for simulating film grain comprising the steps of:
receiving image information;
receiving film grain information that includes at least one parameter among a set of possible parameters specifying different attributes of the film grain previously in the image;
simulating the film grain in accordance with the at least one parameter scaled in accordance with a target pixel block size for pixel blocks in the image; and blending the simulated film grain into the image.
receiving image information;
receiving film grain information that includes at least one parameter among a set of possible parameters specifying different attributes of the film grain previously in the image;
simulating the film grain in accordance with the at least one parameter scaled in accordance with a target pixel block size for pixel blocks in the image; and blending the simulated film grain into the image.
2. The method according to claim 1 wherein:
the step of receiving the film grain information further comprises the step of receiving an image whose bit stream has been compressed in accordance with a predetermined compression standard and the step of receiving the film grain information further comprises the step of receiving additional data embedded in the image bit stream.
the step of receiving the film grain information further comprises the step of receiving an image whose bit stream has been compressed in accordance with a predetermined compression standard and the step of receiving the film grain information further comprises the step of receiving additional data embedded in the image bit stream.
3. The method according to claim 2 wherein:
the step of receiving the film grain information further comprises the step of receiving an image whose bit stream has been compressed in accordance with the H.264 compression standard and the step of receiving the film grain information further comprises the step of receiving an SEI message.
the step of receiving the film grain information further comprises the step of receiving an image whose bit stream has been compressed in accordance with the H.264 compression standard and the step of receiving the film grain information further comprises the step of receiving an SEI message.
4. The method according to claim 2 further comprising the step of scaling the film grain information with a target block size of N t × M t pixels, where N
t and M t are not 16.
t and M t are not 16.
5. The method according to claim 2 further comprising the step of scaling the film grain information with a target block size of 8 ×8 pixels.
6. The method according to claim 1 wherein the step of simulating the film grain includes the steps of:
generating random noise in accordance with the at least one parameter; and scaling the noise to change the pixel values of the pixel blocks previously scaled to the target block size;
frequency filtering the noise after scaling.
generating random noise in accordance with the at least one parameter; and scaling the noise to change the pixel values of the pixel blocks previously scaled to the target block size;
frequency filtering the noise after scaling.
7. The method according to claim 1 wherein the step of simulating the film grain includes the steps of:
generating random noise in accordance with the at least one parameter; and frequency filtering the noise; and scaling the frequency-filtered noise to change the pixel values of the pixel blocks previously scaled to the target block size.
generating random noise in accordance with the at least one parameter; and frequency filtering the noise; and scaling the frequency-filtered noise to change the pixel values of the pixel blocks previously scaled to the target block size.
8. The method according to claim 2 wherein the film grain information comprises horizontal and vertical high and low cut frequencies for scaling by the target pixel block size.
9. The method according to claim 4 wherein the noise undergoes scaling to reduce noise intensity primarily on vertical edges.
10. The method according to claim 4 wherein the noise undergoes scaling to reduce noise intensity primarily on horizontal edges.
11. A method for simulating film grain, comprising the steps of (a) receiving image information representative of an image from which film grain has peen at least attenuated;
(b) receiving film grain information that includes at least one parameter among a set of possible parameters specifying different attributes of the film grain previously in the image;
(c) scaling the film grain information for target pixel blocks in the image different from 16 × 16 blocks;
(d) reading a successive one of pixel blocks of the image;
(e) generating random noise for the successive pixel block in accordance with the at least one parameter;
(f) scaling the random noise to change the pixel values of the pixel blocks previously scaled to the target block size;
(g) performing a block-based transform on the scaled noise to yield a set of coefficients;
(h) frequency filtering the coefficients; and (i) performing an inverse block-based transform on the frequency filtered coefficient to yield a film grain image block.
(b) receiving film grain information that includes at least one parameter among a set of possible parameters specifying different attributes of the film grain previously in the image;
(c) scaling the film grain information for target pixel blocks in the image different from 16 × 16 blocks;
(d) reading a successive one of pixel blocks of the image;
(e) generating random noise for the successive pixel block in accordance with the at least one parameter;
(f) scaling the random noise to change the pixel values of the pixel blocks previously scaled to the target block size;
(g) performing a block-based transform on the scaled noise to yield a set of coefficients;
(h) frequency filtering the coefficients; and (i) performing an inverse block-based transform on the frequency filtered coefficient to yield a film grain image block.
12. The method according to claim 11 wherein the steps (d)-(i) are repeated until all pixel blocks in the image have been read.
13. The method according to claim 11 wherein the step of performing a block based transform further comprises the step of performing a Discrete Cosine Transform.
14. The method according to claim 13 wherein the step or performing a mock based inverse transform further comprises the step of performing an Inverse Discrete Cosine Transform.
15. A method for simulating film grain, comprising the steps of (a) receiving image information representative of an image from which film grain has peen at least attenuated;
(b) receiving film grain information that includes at least one parameter among a set of possible parameters specifying different attributes of the film grain previously in the image;
(c) scaling the film grain information for target pixel blocks in the image different from
(b) receiving film grain information that includes at least one parameter among a set of possible parameters specifying different attributes of the film grain previously in the image;
(c) scaling the film grain information for target pixel blocks in the image different from
16 × 16 blocks;
(d) reading a successive one of pixel blocks of the image;
(e) generating random noise for the successive pixel block in accordance with the at least one parameter;
(f) performing a block-based transform on the noise to yield a set of coefficients;
(g) frequency filtering the coefficients;
(h) performing an inverse block-based transform on the frequency filtered coefficient to yield a film grain image block; and (i) scaling the noise to change the pixel values of the pixel blocks previously scaled to the target block size.
16. The method according to claim 15 wherein the steps (d)-(i) are repeated until all pixel blocks in the image have been read.
(d) reading a successive one of pixel blocks of the image;
(e) generating random noise for the successive pixel block in accordance with the at least one parameter;
(f) performing a block-based transform on the noise to yield a set of coefficients;
(g) frequency filtering the coefficients;
(h) performing an inverse block-based transform on the frequency filtered coefficient to yield a film grain image block; and (i) scaling the noise to change the pixel values of the pixel blocks previously scaled to the target block size.
16. The method according to claim 15 wherein the steps (d)-(i) are repeated until all pixel blocks in the image have been read.
17. The method according to claim 15 wherein the step of performing a block based transform further comprises the step of performing a Discrete Cosine Transform.
18. The method according to claim 15 wherein the step of performing a block based inverse transform further comprises the step of performing an Inverse Discrete Cosine Transform.
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Families Citing this family (36)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE602004010683T2 (en) * | 2003-08-29 | 2009-01-02 | Thomson Licensing | METHOD AND DEVICE FOR MODELING FILM GATE PATTERNS IN THE FREQUENCY RANGE |
| JP4931587B2 (en) * | 2003-09-23 | 2012-05-16 | トムソン ライセンシング | A method of simulating film grain using frequency filtering |
| RU2340943C2 (en) * | 2003-09-23 | 2008-12-10 | Томсон Лайсенсинг | Method of simulating film grain by mosaicking precomputed models |
| JP2005100100A (en) * | 2003-09-25 | 2005-04-14 | Toyota Motor Corp | Wheel information processing device and method |
| EP1673943A1 (en) * | 2003-10-14 | 2006-06-28 | Thomson Licensing, S.A. | Technique for bit-accurate comfort noise addition |
| JP4066367B2 (en) * | 2003-11-28 | 2008-03-26 | ノーリツ鋼機株式会社 | Image noise removal method |
| US8150206B2 (en) * | 2004-03-30 | 2012-04-03 | Thomson Licensing | Method and apparatus for representing image granularity by one or more parameters |
| BRPI0516614B1 (en) | 2004-10-18 | 2020-08-18 | Interdigital Vc Holdings, Inc | FILM GRANULATION SIMULATION METHOD |
| JP4543873B2 (en) | 2004-10-18 | 2010-09-15 | ソニー株式会社 | Image processing apparatus and processing method |
| WO2006047138A2 (en) * | 2004-10-21 | 2006-05-04 | Thomson Licensing | Technique for adaptive de-blocking of block-based film grain patterns |
| EP1813118B1 (en) | 2004-11-12 | 2019-12-04 | InterDigital VC Holdings, Inc. | Film grain simulation for normal play and trick mode play for video playback systems |
| MX2007005652A (en) * | 2004-11-16 | 2007-06-05 | Thomson Licensing | Film grain simulation method based on pre-computed transform coefficients. |
| CA2587118C (en) | 2004-11-16 | 2014-12-30 | Thomson Licensing | Film grain sei message insertion for bit-accurate simulation in a video system |
| ES2739452T3 (en) * | 2004-11-17 | 2020-01-31 | Interdigital Vc Holdings Inc | Film grain simulation method with bit accuracy based on previously calculated transformed coefficients |
| KR101208158B1 (en) * | 2004-11-22 | 2012-12-05 | 톰슨 라이센싱 | Methods, apparatus and system for film grain cache splitting for film grain simulation |
| WO2006057703A1 (en) | 2004-11-23 | 2006-06-01 | Thomson Licensing | Low-complexity film grain simulation technique |
| CN101065971B (en) * | 2004-11-24 | 2014-01-01 | 汤姆森许可贸易公司 | Film grain simulation technique for use in media playback devices |
| EP1670255A1 (en) * | 2004-12-08 | 2006-06-14 | Koninklijke Philips Electronics N.V. | Electronic image processing method and device with linked random generators |
| KR101249236B1 (en) * | 2005-01-12 | 2013-04-01 | 코닌클리케 필립스 일렉트로닉스 엔.브이. | Depth perception |
| US7664337B2 (en) * | 2005-12-20 | 2010-02-16 | Marvell International Ltd. | Film grain generation and addition |
| JP2007235227A (en) * | 2006-02-27 | 2007-09-13 | Toshiba Corp | Video reproducing apparatus and video reproducing method |
| EP2036036B1 (en) | 2006-06-21 | 2018-10-31 | Thomson Licensing | Automatic film grain adjustment |
| US8213500B2 (en) * | 2006-12-21 | 2012-07-03 | Sharp Laboratories Of America, Inc. | Methods and systems for processing film grain noise |
| US7742652B2 (en) | 2006-12-21 | 2010-06-22 | Sharp Laboratories Of America, Inc. | Methods and systems for image noise processing |
| US10715834B2 (en) | 2007-05-10 | 2020-07-14 | Interdigital Vc Holdings, Inc. | Film grain simulation based on pre-computed transform coefficients |
| US8432975B2 (en) * | 2008-01-18 | 2013-04-30 | Mediatek Inc. | Apparatus and method for processing a picture frame |
| US20090328093A1 (en) * | 2008-06-30 | 2009-12-31 | At&T Intellectual Property I, L.P. | Multimedia Content Filtering |
| CN102291537B (en) * | 2008-09-03 | 2015-05-27 | 奥林巴斯映像株式会社 | Image processing apparatus, imaging apparatus, image processing method |
| JP5751679B2 (en) * | 2010-01-15 | 2015-07-22 | マーベル ワールド トレード リミテッド | Using film grain to mask compression artifacts |
| JP5484310B2 (en) | 2010-12-24 | 2014-05-07 | キヤノン株式会社 | Image processing apparatus and image processing apparatus control method |
| CN102324091A (en) * | 2011-09-08 | 2012-01-18 | 深圳市万兴软件有限公司 | Image noise adding method and device |
| KR101979634B1 (en) | 2012-12-13 | 2019-05-20 | 삼성전자주식회사 | Image processing apparatus for image enhancement and method thereof |
| US9438821B1 (en) | 2014-04-11 | 2016-09-06 | Suny Behar Parker | Method for applying multi-layered film grain and texture mapping to a digital video image |
| CN112525102B (en) * | 2020-12-09 | 2021-07-23 | 吉林大学 | Noise simulator of automobile morphology measurement system based on electrorheological fluid |
| WO2024012810A1 (en) * | 2022-07-11 | 2024-01-18 | Interdigital Ce Patent Holdings, Sas | Film grain synthesis using encoding information |
| CN116708876A (en) * | 2023-05-06 | 2023-09-05 | 神力视界(深圳)文化科技有限公司 | Video stream processing method and electronic equipment |
Family Cites Families (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4935816A (en) | 1989-06-23 | 1990-06-19 | Robert A. Faber | Method and apparatus for video image film simulation |
| RU2088962C1 (en) | 1990-09-28 | 1997-08-27 | Диджитал Тиатер Системз, Л.П. | Sound track film, sound system for movie on film, process for production of analog phonogram and digital identifier of position on film, process for generation of sound signal of movie film and method of reading the consistent digital data from digital storage |
| US5374954A (en) | 1990-10-11 | 1994-12-20 | Harry E. Mowry | Video system for producing video image simulating the appearance of motion picture or other photographic film |
| US5687011A (en) | 1990-10-11 | 1997-11-11 | Mowry; Craig P. | System for originating film and video images simultaneously, for use in modification of video originated images toward simulating images originated on film |
| US5140414A (en) | 1990-10-11 | 1992-08-18 | Mowry Craig P | Video system for producing video images simulating images derived from motion picture film |
| US5457491A (en) | 1990-10-11 | 1995-10-10 | Mowry; Craig P. | System for producing image on first medium, such as video, simulating the appearance of image on second medium, such as motion picture or other photographic film |
| US5335013A (en) | 1992-01-16 | 1994-08-02 | Faber Robert A | Method and apparatus for video camera image film simulation |
| US5471572A (en) | 1993-07-09 | 1995-11-28 | Silicon Graphics, Inc. | System and method for adding detail to texture imagery in computer generated interactive graphics |
| US5831673A (en) | 1994-01-25 | 1998-11-03 | Przyborski; Glenn B. | Method and apparatus for storing and displaying images provided by a video signal that emulates the look of motion picture film |
| US5475425B1 (en) | 1994-01-25 | 2000-07-25 | Przyborski Production | Apparatus and method for creating video ouputs that emulate the look of motion picture film |
| WO1996013006A1 (en) | 1994-10-20 | 1996-05-02 | Mark Alan Zimmer | Digital mark-making method |
| JPH08163594A (en) * | 1994-12-12 | 1996-06-21 | Sony Corp | Moving image decoding method and moving image decoder |
| US5629769A (en) | 1995-06-01 | 1997-05-13 | Eastman Kodak Company | Apparatus and method for the measurement of grain in images |
| US5641596A (en) * | 1995-12-05 | 1997-06-24 | Eastman Kodak Company | Adjusting film grain properties in digital images |
| GB9613865D0 (en) | 1996-07-02 | 1996-09-04 | Crosfield Electronics Ltd | Method and apparatus for generating a digital representation of an image |
| US6317216B1 (en) | 1999-12-13 | 2001-11-13 | Brown University Research Foundation | Optical method for the determination of grain orientation in films |
| WO2001077871A1 (en) | 2000-04-07 | 2001-10-18 | Demografx | Enhanced temporal and resolution layering in advanced television |
| CA2309002A1 (en) | 2000-05-23 | 2001-11-23 | Jonathan Martin Shekter | Digital film grain reduction |
| US6940993B2 (en) * | 2000-12-13 | 2005-09-06 | Eastman Kodak Company | System and method for embedding a watermark signal that contains message data in a digital image |
| US7092016B2 (en) * | 2001-02-09 | 2006-08-15 | Eastman Kodak Company | Method and system for motion image digital processing |
| JP4723483B2 (en) * | 2003-04-10 | 2011-07-13 | トムソン ライセンシング | Technology for simulating film grain in encoded video |
| PL378934A1 (en) | 2003-05-15 | 2006-06-12 | Thomson Licensing | Method and apparatus for representing image granularity by one or more parameters |
| US7245783B2 (en) * | 2003-06-24 | 2007-07-17 | Eastman Kodak Company | System and method for estimating, synthesizing and matching noise in digital images and image sequences |
| DE602004010683T2 (en) * | 2003-08-29 | 2009-01-02 | Thomson Licensing | METHOD AND DEVICE FOR MODELING FILM GATE PATTERNS IN THE FREQUENCY RANGE |
| JP4931587B2 (en) * | 2003-09-23 | 2012-05-16 | トムソン ライセンシング | A method of simulating film grain using frequency filtering |
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| RU2342703C2 (en) | 2008-12-27 |
| HK1093642A1 (en) | 2007-03-02 |
| WO2005032143A1 (en) | 2005-04-07 |
| CA2538832C (en) | 2013-02-12 |
| AU2004306091A1 (en) | 2005-04-07 |
| CN1857005B (en) | 2010-04-28 |
| JP4931587B2 (en) | 2012-05-16 |
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