CA2427462A1 - Image processing device, image processing method, storage medium, and program - Google Patents
Image processing device, image processing method, storage medium, and program Download PDFInfo
- Publication number
- CA2427462A1 CA2427462A1 CA 2427462 CA2427462A CA2427462A1 CA 2427462 A1 CA2427462 A1 CA 2427462A1 CA 2427462 CA2427462 CA 2427462 CA 2427462 A CA2427462 A CA 2427462A CA 2427462 A1 CA2427462 A1 CA 2427462A1
- Authority
- CA
- Canada
- Prior art keywords
- frequency components
- frequency
- image
- tone conversion
- component
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000003672 processing method Methods 0.000 title claims 17
- 238000006243 chemical reaction Methods 0.000 claims abstract 234
- 230000009466 transformation Effects 0.000 claims abstract 51
- 238000000034 method Methods 0.000 claims abstract 13
- 238000000354 decomposition reaction Methods 0.000 claims 10
- 238000004519 manufacturing process Methods 0.000 claims 4
- 238000009499 grossing Methods 0.000 claims 3
- 239000002131 composite material Substances 0.000 claims 2
- 230000001186 cumulative effect Effects 0.000 claims 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
-
- 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
- H04N1/40—Picture signal circuits
- H04N1/409—Edge or detail enhancement; Noise or error suppression
- H04N1/4092—Edge or detail enhancement
-
- 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
-
- G06T5/92—
-
- 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
- H04N1/40—Picture signal circuits
- H04N1/407—Control or modification of tonal gradation or of extreme levels, e.g. background level
-
- 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
- H04N1/40—Picture signal circuits
- H04N1/407—Control or modification of tonal gradation or of extreme levels, e.g. background level
- H04N1/4072—Control or modification of tonal gradation or of extreme levels, e.g. background level dependent on the contents of the original
-
- 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
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/1883—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit relating to sub-band structure, e.g. hierarchical level, directional tree, e.g. low-high [LH], high-low [HL], high-high [HH]
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- 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
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- 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
- G06T2207/20064—Wavelet transform [DWT]
-
- 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
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/63—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
Abstract
There are disclosed an image processing apparatus and method, and the like, which can obtain a high-quality image, the dynamic range or partial pixel value range of which has been changed while suppressing or avoiding collapse of the edge structure of an image or generation of overshoot. Also, there are disclosed an image processing apparatus and method, and the like, which can obtain a high-quality image, desired spatial frequency components of which have been emphasized or suppressed while suppressing or avoiding collapse of the edge structure of an edge portion contained in an objective image.
For example, an image processing apparatus includes tone conversion means for executing tone conversion of an image, frequency transformation means for decomposing the image that has undergone tone conversion by the tone conversion means into frequency components of a plurality of frequency bands, and component conversion means for converting the frequency components of the plurality of frequency bands obtained by the frequency transformation means, on the basis of values of the frequency components and the tone conversion characteristics of the tone conversion means.
For example, an image processing apparatus includes tone conversion means for executing tone conversion of an image, frequency transformation means for decomposing the image that has undergone tone conversion by the tone conversion means into frequency components of a plurality of frequency bands, and component conversion means for converting the frequency components of the plurality of frequency bands obtained by the frequency transformation means, on the basis of values of the frequency components and the tone conversion characteristics of the tone conversion means.
Claims (97)
1. An image processing apparatus characterized by comprising:
tone conversion means for executing tone conversion of an image; and component conversion means for converting frequency components of a plurality of frequency bands of the image or an image after that image has undergone tone conversion by said tone conversion means, on the basis of values of the frequency components and tone conversion characteristics of said tone conversion means.
tone conversion means for executing tone conversion of an image; and component conversion means for converting frequency components of a plurality of frequency bands of the image or an image after that image has undergone tone conversion by said tone conversion means, on the basis of values of the frequency components and tone conversion characteristics of said tone conversion means.
2. The apparatus according to claim 1, characterized in that said component conversion means converts the frequency components on the basis of a slope of a tone conversion curve of said tone conversion means.
3. The apparatus according to claim 1 or 2, characterized in that said component conversion means does not convert predetermined low-frequency components, or sets the predetermined low-frequency components to be zero.
4. The apparatus according to any one of claims 1 to 3, characterized in that said component conversion means comprises frequency transformation means for decomposing an image into frequency components of a plurality of frequency bands, and inverse frequency transformation means for generating an image by compositing frequency components of a plurality of frequency bands of an image.
5. The apparatus according to any one of claims 1 to 4, characterized in that said component conversion means executes a discrete wavelet transformation process for an image, and converts components of predetermined subbands except for an LL subband obtained by the discrete wavelet transformation process, on the basis of a slope of a tone conversion curve of said tone conversion means.
6. The apparatus according to claim 5, characterized in that said component conversion means does not convert components of the LL subband or sets the components of the LL subband to be zero.
7. The apparatus according to any one of claims 1 to 7, characterized in that said component conversion means converts frequency components having absolute, values greater than a predetermined threshold value more suppressedly than frequency components having absolute values not greater than the threshold value.
8. The apparatus according to any one of claims 1 to 7, characterized in that said component conversion means substantially does not convert frequency components having absolute values greater than a predetermined threshold value or sets those frequency components to be zero.
9. An image processing apparatus characterized by comprising:
tone conversion means for executing tone conversion of an image;
frequency transformation means for decomposing the image that has undergone tone conversion by said tone conversion means into frequency components of a plurality of frequency bands; and component conversion means for converting the frequency components of the plurality of frequency bands obtained by said frequency transformation means, on the basis of values of the frequency components and tone conversion characteristics of said tone conversion means.
tone conversion means for executing tone conversion of an image;
frequency transformation means for decomposing the image that has undergone tone conversion by said tone conversion means into frequency components of a plurality of frequency bands; and component conversion means for converting the frequency components of the plurality of frequency bands obtained by said frequency transformation means, on the basis of values of the frequency components and tone conversion characteristics of said tone conversion means.
10. The apparatus according to claim 9, characterized in that said component conversion means converts the frequency components on the basis of a slope of a tone conversion curve of said tone conversion means.
11. The apparatus according to claim 9 or 10, characterized in that said component conversion means does not convert predetermined low-frequency components.
12. The apparatus according to any one of claims 9 to 11, characterized by further comprising inverse frequency transformation means for generating an image by compositing frequency components of a plurality of frequency bands.
13. The apparatus according to claim 9, characterized in that said frequency transformation means executes a discrete wavelet transformation process, and said component conversion means converts components of predetermined subbands except for an LL subband obtained by the discrete wavelet transformation process, on the basis of a slope of a tone conversion curve of said tone conversion means.
14. The apparatus according to claim 13, characterized in that said component conversion means does not convert components of the LL subband.
15. The apparatus according to any one of claims 9 to 14, characterized in that said component conversion means converts frequency components having absolute values greater than a predetermined threshold value more suppressedly than frequency components having absolute values not greater than the threshold value.
16. The apparatus according to any one of claims 9 to 14, characterized in that said component conversion means substantially does not convert frequency components having absolute values greater than a predetermined threshold value.
17. An image processing apparatus characterized by comprising:
first frequency transformation means for decomposing an image into first frequency components of a plurality of frequency bands;
tone conversion means for executing tone conversion of the image;
second frequency transformation means for decomposing the image that has undergone tone conversion by said tone conversion means into second frequency components of a plurality of frequency bands;
and component conversion means for converting the second frequency components of the plurality of frequency bands by adding frequency components, which are obtained by converting the first frequency components of the plurality of frequency bands on the basis of values of the first frequency components of the plurality of frequency bands and tone conversion characteristics of said tone conversion means, to the second frequency components of the plurality of frequency bands.
first frequency transformation means for decomposing an image into first frequency components of a plurality of frequency bands;
tone conversion means for executing tone conversion of the image;
second frequency transformation means for decomposing the image that has undergone tone conversion by said tone conversion means into second frequency components of a plurality of frequency bands;
and component conversion means for converting the second frequency components of the plurality of frequency bands by adding frequency components, which are obtained by converting the first frequency components of the plurality of frequency bands on the basis of values of the first frequency components of the plurality of frequency bands and tone conversion characteristics of said tone conversion means, to the second frequency components of the plurality of frequency bands.
18. The apparatus according to claim 17, characterized in that said component conversion means converts the first frequency components of the plurality of frequency bands on the basis of a slope of a tone conversion curve of said tone conversion means.
19. The apparatus according to claim 17 or 18, characterized in that said component conversion means does not convert predetermined low-frequency components of the second frequency components of the plurality of frequency bands.
20. The apparatus according to any one of claims 17 to 19, characterized by further comprising inverse frequency transformation means for generating an image by compositing the second frequency components of the plurality of frequency bands converted by said component conversion means.
21. The apparatus according to claim 17, characterized in that said first and second frequency transformation means execute a discrete wavelet transformation process, and said component conversion means converts components of predetermined subbands except for an LL subband obtained by the discrete wavelet transformation process of said first frequency transformation means, on the basis of a slope of a tone conversion curve of said tone conversion means.
22. The apparatus according to claim 21, characterized in that said component conversion means does not convert components of the LL subband obtained by the discrete wavelet transformation process of said second frequency transformation means.
23. The apparatus according to any one of claims 17 to 22, characterized in that said component conversion means converts the first frequency components of the plurality of frequency bands, which have absolute values greater than a predetermined threshold value more supressedly than the first frequency components of the plurality of frequency bands, which have absolute values not greater than the threshold value.
24. The apparatus according to any one of claims 17 to 22, characterized in that said component conversion means substantially does not convert the second frequency components of the plurality of frequency bands, which have absolute values greater than a predetermined threshold value.
25. An image processing apparatus characterized by comprising:
tone conversion means for executing tone conversion of an image;
frequency transformation means for decomposing the image into frequency components of a plurality of frequency bands;
component conversion means for converting frequency components of the plurality of frequency bands obtained by said frequency transformation means, on the basis of values of the frequency components and tone conversion characteristics of said tone conversion means;
inverse frequency transformation means for generating an image by compositing the frequency components converted by said component conversion means; and addition means for adding the image generated by said inverse frequency transformation means and the image that has undergone tone conversion by said tone conversion means.
tone conversion means for executing tone conversion of an image;
frequency transformation means for decomposing the image into frequency components of a plurality of frequency bands;
component conversion means for converting frequency components of the plurality of frequency bands obtained by said frequency transformation means, on the basis of values of the frequency components and tone conversion characteristics of said tone conversion means;
inverse frequency transformation means for generating an image by compositing the frequency components converted by said component conversion means; and addition means for adding the image generated by said inverse frequency transformation means and the image that has undergone tone conversion by said tone conversion means.
26. The apparatus according to claim 25, characterized in that said component conversion means converts the frequency components on the basis of a slope of a tone conversion curve of said tone conversion means.
27. The apparatus according to claim 25 or 26, characterized in that said component conversion means sets predetermined low-frequency components to be zero.
28. The apparatus according to claim 25, characterized in that said frequency transformation means executes a discrete wavelet transformation process, and said component conversion means converts components of predetermined subbands except for an LL
subband obtained by the discrete wavelet transformation process, on the basis of a slope of a tone conversion curve of said tone conversion means.
subband obtained by the discrete wavelet transformation process, on the basis of a slope of a tone conversion curve of said tone conversion means.
29. The apparatus according to claim 28, characterized in that said component conversion means sets components of the LL subband to be zero.
30. The apparatus according to any one of claims 25 to 29; characterized in that said component conversion means converts frequency components having absolute values greater than a predetermined threshold value more suppressedly than frequency components having absolute values not greater than the threshold value.
31. The apparatus according to any one of claims 25 to 29, characterized in that said component conversion means converts frequency components having absolute values greater than a predetermined threshold value into zero.
32. An image processing apparatus characterized by comprising:
frequency transformation means for decomposing an image into frequency components of a plurality of frequency bands;
component conversion means for converting the frequency components of the plurality of frequency bands obtained by said frequency transformation means, on the basis of values of the frequency components and tone conversion characteristics;
inverse frequency transformation means for generating an image by compositing the frequency components converted by said component conversion means; and tone conversion means for executing tone conversion of the image generated by said inverse frequency transformation means on the basis of the tone conversion characteristics.
frequency transformation means for decomposing an image into frequency components of a plurality of frequency bands;
component conversion means for converting the frequency components of the plurality of frequency bands obtained by said frequency transformation means, on the basis of values of the frequency components and tone conversion characteristics;
inverse frequency transformation means for generating an image by compositing the frequency components converted by said component conversion means; and tone conversion means for executing tone conversion of the image generated by said inverse frequency transformation means on the basis of the tone conversion characteristics.
33. The apparatus according to claim 32, characterized in that said component conversion means converts the frequency components on the basis of a slope of a tone conversion curve of said tone conversion means.
34. The apparatus according to claim 32 or 33, characterized in that said component conversion means does not convert predetermined low-frequency components.
35. The apparatus according to any one of claims 32 to 34, characterized in that said frequency transformation means executes a discrete wavelet transformation process, and said component conversion means converts components of predetermined subbands except for an LL subband obtained by the discrete wavelet transformation process, on the basis of a slope of a tone conversion curve of said tone conversion means.
36. The apparatus according to claim 35, characterized in that said component conversion means does not convert components of the LL subband.
37. The apparatus according to any one of claims 32 to 36, characterized in that said component conversion means converts frequency components having absolute values greater than a predetermined threshold value more suppressedly than frequency components having absolute values not grater than the predetermined threshold value.
38. The apparatus according to any one of claims 32 to 36, characterized in that said component conversion means substantially does not convert frequency components having absolute values greater than a predetermined threshold value.
39. An image processing apparatus characterized by comprising:
tone conversion means for executing tone conversion of an image; and component conversion means for converting high-frequency components of the image or an image after that image has undergone tone conversion by said tone conversion means, on the basis of values of the high-frequency components and tone conversion characteristics of said tone conversion means.
tone conversion means for executing tone conversion of an image; and component conversion means for converting high-frequency components of the image or an image after that image has undergone tone conversion by said tone conversion means, on the basis of values of the high-frequency components and tone conversion characteristics of said tone conversion means.
40. The apparatus according to claim 39, characterized in that said component conversion means converts the high-frequency components on the basis of a slope of a tone conversion curve of said tone conversion means.
41. The apparatus according to claim 39 or 40, characterized in that said component conversion means converts high-frequency components having absolute values greater than a predetermined threshold value more suppressedly than high-frequency components having absolute values not greater than the predetermined threshold value.
42. The apparatus according to claim 39 or 40, characterized in that said component conversion means substantially does not convert high-frequency components having absolute values greater than a predetermined threshold value or sets those high-frequency components to be zero.
43. An image processing apparatus characterized by comprising:
tone conversion means for executing tone conversion of an image;
high-frequency component calculation means for calculating high-frequency components of the image;
component conversion means for converting the frequency components obtained by said high-frequency component calculation means, on the basis of values of the high-frequency components and tone conversion characteristics of said tone conversion means; and addition means for adding the high-frequency components converted by said component conversion means and the image that has undergone tone conversion by said tone conversion means.
tone conversion means for executing tone conversion of an image;
high-frequency component calculation means for calculating high-frequency components of the image;
component conversion means for converting the frequency components obtained by said high-frequency component calculation means, on the basis of values of the high-frequency components and tone conversion characteristics of said tone conversion means; and addition means for adding the high-frequency components converted by said component conversion means and the image that has undergone tone conversion by said tone conversion means.
44. The apparatus according to claim 43, characterized in that said component conversion means converts the high-frequency components on the basis of a slope of a tone conversion curve of said tone conversion means.
45. The apparatus according to claim 43 or 44, characterized in that said component conversion means converts high-frequency components having absolute values greater than a predetermined threshold value more suppressedly than high-frequency components having absolute values not greater than the threshold value.
46. The apparatus according to claim 43 or 44, characterized in that said component conversion means converts high-frequency components having absolute values greater than a predetermined threshold value into zero.
47. An image processing apparatus characterized by comprising:
tone conversion means for executing tone conversion of an image;
high-frequency component calculation means for calculating high-frequency components of the image that has undergone tone conversion by said tone conversion means;
component conversion means for converting the high-frequency components obtained by said high-frequency component calculation means, on the basis of values of the high-frequency components and tone conversion characteristics of said tone conversion means; and addition means for adding the high-frequency components converted by said component conversion means and the image that has undergone tone conversion by said tone conversion means.
tone conversion means for executing tone conversion of an image;
high-frequency component calculation means for calculating high-frequency components of the image that has undergone tone conversion by said tone conversion means;
component conversion means for converting the high-frequency components obtained by said high-frequency component calculation means, on the basis of values of the high-frequency components and tone conversion characteristics of said tone conversion means; and addition means for adding the high-frequency components converted by said component conversion means and the image that has undergone tone conversion by said tone conversion means.
48. The apparatus according to claim 47, characterized in that said component conversion means converts the high-frequency components on the basis of a slope of a tone conversion curve of said tone conversion means.
49. The apparatus according to claim 47 or 48, characterized in that said component conversion means converts high-frequency components having absolute values greater than a predetermined threshold value more suppressedly than high-frequency components having absolute values not greater than the predetermined threshold value.
50. The apparatus according to claim 47 or 48, characterized in that said component conversion means converts high-frequency components having absolute values greater than a predetermined threshold value into zero.
51. An image processing method characterized by comprising:
a tone conversion step of executing tone conversion of an image; and a component conversion step of converting frequency components of a plurality of frequency bands of the image or an image after that image has undergone tone conversion in the tone conversion step, on the basis of values of the frequency components and tone conversion characteristics of the tone conversion step.
a tone conversion step of executing tone conversion of an image; and a component conversion step of converting frequency components of a plurality of frequency bands of the image or an image after that image has undergone tone conversion in the tone conversion step, on the basis of values of the frequency components and tone conversion characteristics of the tone conversion step.
52. An image processing method characterized by comprising:
a tone conversion step of executing tone conversion of an image;
a frequency transformation step of decomposing the image that has undergone tone conversion in the tone conversion step into frequency components of a plurality of frequency bands; and a component conversion step of converting the frequency components of the plurality of frequency bands obtained in the frequency transformation step, on the basis of values of the frequency components and tone conversion characteristics of the tone conversion means.
a tone conversion step of executing tone conversion of an image;
a frequency transformation step of decomposing the image that has undergone tone conversion in the tone conversion step into frequency components of a plurality of frequency bands; and a component conversion step of converting the frequency components of the plurality of frequency bands obtained in the frequency transformation step, on the basis of values of the frequency components and tone conversion characteristics of the tone conversion means.
53. An image processing method characterized by comprising:
a first frequency transformation step of decomposing an image into first frequency components of a plurality of frequency bands;
a tone conversion step of executing tone conversion of the image;
a second frequency transformation step of decomposing the image that has undergone tone conversion in the tone.conversion step into second frequency components of a plurality of frequency bands;
and a component conversion.step of converting the second frequency components of the plurality of frequency bands by adding frequency components, which are obtained by converting the first frequency components of the plurality of frequency bands, on the basis of values of the first frequency components of the plurality of frequency bands and tone conversion characteristics of the tone conversion means, to the second frequency components of the plurality of frequency bands.
a first frequency transformation step of decomposing an image into first frequency components of a plurality of frequency bands;
a tone conversion step of executing tone conversion of the image;
a second frequency transformation step of decomposing the image that has undergone tone conversion in the tone.conversion step into second frequency components of a plurality of frequency bands;
and a component conversion.step of converting the second frequency components of the plurality of frequency bands by adding frequency components, which are obtained by converting the first frequency components of the plurality of frequency bands, on the basis of values of the first frequency components of the plurality of frequency bands and tone conversion characteristics of the tone conversion means, to the second frequency components of the plurality of frequency bands.
54. An image processing method characterized by comprising:
a tone conversion step of executing tone conversion of an image;
a frequency transformation step of decomposing the image into frequency components of a plurality of frequency bands;
a component conversion step of converting frequency components of the plurality of frequency bands obtained in the frequency transformation step, on the basis of values of the frequency components and tone conversion characteristics of the tone conversion means;
an inverse frequency transformation step of generating an image by compositing the frequency components converted in the component conversion step;
and an addition step of adding the image generated in the inverse frequency transformation step and the image that has undergone tone conversion in the tone conversion step.
a tone conversion step of executing tone conversion of an image;
a frequency transformation step of decomposing the image into frequency components of a plurality of frequency bands;
a component conversion step of converting frequency components of the plurality of frequency bands obtained in the frequency transformation step, on the basis of values of the frequency components and tone conversion characteristics of the tone conversion means;
an inverse frequency transformation step of generating an image by compositing the frequency components converted in the component conversion step;
and an addition step of adding the image generated in the inverse frequency transformation step and the image that has undergone tone conversion in the tone conversion step.
55. An image processing method characterized by comprising:
a frequency transformation step of decomposing an image into frequency components of a plurality of frequency bands;
a component conversion step of converting the frequency components of the plurality of frequency bands obtained in the frequency transformation step, on the basis of values of the frequency components and tone conversion characteristics;
an inverse frequency transformation step of generating an image by compositing the frequency components converted in the component conversion step;
and a tone conversion step of executing tone conversion of the image generated in the inverse frequency transformation step, on the basis of the tone conversion characteristics.
a frequency transformation step of decomposing an image into frequency components of a plurality of frequency bands;
a component conversion step of converting the frequency components of the plurality of frequency bands obtained in the frequency transformation step, on the basis of values of the frequency components and tone conversion characteristics;
an inverse frequency transformation step of generating an image by compositing the frequency components converted in the component conversion step;
and a tone conversion step of executing tone conversion of the image generated in the inverse frequency transformation step, on the basis of the tone conversion characteristics.
56. An image processing method characterized by comprising:
a tone conversion step of executing tone conversion of an image; and a component conversion step of converting high-frequency components of the image or an image after that image has undergone tone conversion in the tone conversion step, on the basis of values of the high-frequency components and tone conversion characteristics of the tone conversion step.
a tone conversion step of executing tone conversion of an image; and a component conversion step of converting high-frequency components of the image or an image after that image has undergone tone conversion in the tone conversion step, on the basis of values of the high-frequency components and tone conversion characteristics of the tone conversion step.
57. An image processing method characterized by comprising:
a tone conversion step of executing tone conversion of an image;
a high-frequency component calculation step of calculating high-frequency components of the image;
a component conversion step of converting the frequency components obtained in the high-frequency component calculation step, on the basis of values of the high-frequency components and tone conversion characteristics of the tone conversion means; and an addition step of adding the high-frequency components converted in the component conversion step and the image that has undergone tone conversion in the tone conversion step.
a tone conversion step of executing tone conversion of an image;
a high-frequency component calculation step of calculating high-frequency components of the image;
a component conversion step of converting the frequency components obtained in the high-frequency component calculation step, on the basis of values of the high-frequency components and tone conversion characteristics of the tone conversion means; and an addition step of adding the high-frequency components converted in the component conversion step and the image that has undergone tone conversion in the tone conversion step.
58. An image processing method characterized by comprising:
a tone conversion step of executing tone conversion of an image;
a high-frequency component calculation step of calculating high-frequency components of the image that has undergone tone conversion in the tone conversion step;
a component conversion step of converting the frequency components obtained in the high-frequency component calculation step on the basis of values of the high-frequency components and tone conversion characteristics of the tone conversion means; and an addition step of adding the high-frequency components converted in the component conversion step and the image that has undergone tone conversion in the tone conversion step.
a tone conversion step of executing tone conversion of an image;
a high-frequency component calculation step of calculating high-frequency components of the image that has undergone tone conversion in the tone conversion step;
a component conversion step of converting the frequency components obtained in the high-frequency component calculation step on the basis of values of the high-frequency components and tone conversion characteristics of the tone conversion means; and an addition step of adding the high-frequency components converted in the component conversion step and the image that has undergone tone conversion in the tone conversion step.
59. A computer-readable storage medium that stores a program for making a computer implement functions of an image processing apparatus cited in any one of claims 1 to 50.
60. A computer-readable storage medium that stores a program for making a computer execute processing steps of an image processing method cited in any one of claims 51 to 58.
61. A program for making a computer implement functions of an image processing apparatus cited in any one of claims 1 to 50.
62. A program for making a computer execute processing steps of an image processing method cited in any one of claims 51 to 58.
63. An image processing apparatus characterized by comprising:
a decomposition unit for producing, from an objective image, low-frequency components of the objective image, and high-frequency components of at least one frequency band;
a component conversion unit for converting at least the high-frequency components of the at least one frequency band of the low-frequency components and the high-frequency components of the at least one frequency band obtained by said decomposition unit; and an image generation unit for generating a processed image using the high-frequency components of the at least one frequency band converted by said component conversion unit, and the objective image or the low-frequency components, and in that said component conversion unit performs first conversion for converting the high-frequency components of the at least one frequency band and the low-frequency components so that first elements having absolute values not less than a predetermined threshold value in the high-frequency components of the at least one frequency band and the low-frequency components obtained by said decomposition unit, change at substantially the same ratio upon change from the objective image to the processed image, and second conversion, different from the first conversion, for second elements having absolute values less than the predetermined threshold value in the high-frequency components of the at least one frequency band.
a decomposition unit for producing, from an objective image, low-frequency components of the objective image, and high-frequency components of at least one frequency band;
a component conversion unit for converting at least the high-frequency components of the at least one frequency band of the low-frequency components and the high-frequency components of the at least one frequency band obtained by said decomposition unit; and an image generation unit for generating a processed image using the high-frequency components of the at least one frequency band converted by said component conversion unit, and the objective image or the low-frequency components, and in that said component conversion unit performs first conversion for converting the high-frequency components of the at least one frequency band and the low-frequency components so that first elements having absolute values not less than a predetermined threshold value in the high-frequency components of the at least one frequency band and the low-frequency components obtained by said decomposition unit, change at substantially the same ratio upon change from the objective image to the processed image, and second conversion, different from the first conversion, for second elements having absolute values less than the predetermined threshold value in the high-frequency components of the at least one frequency band.
64. The apparatus according to claim 63, characterized in that when said component conversion unit performs conversion that does not change the low-frequency components upon change from the objective image to the processed image, said component conversion unit converts the high-frequency components of the at least one frequency band so that the first elements substantially remain unchanged upon change from the objective image to the processed image.
65. The apparatus according to claim 63, characterized in that the same ratio in the first conversion of said component conversion unit is 1.
66. The apparatus according to claim 63, characterized in that said decomposition unit comprises:
a smoothing unit for generating the low-frequency components by smoothing the objective image; and a subtraction unit for generating the high-frequency components by subtracting the low-frequency components generated by said smoothing unit from the objective image.
a smoothing unit for generating the low-frequency components by smoothing the objective image; and a subtraction unit for generating the high-frequency components by subtracting the low-frequency components generated by said smoothing unit from the objective image.
67. The apparatus according to claim 66, characterized in that said image generation unit obtains the processed image by adding the high-frequency components converted by said component conversion unit to the objective image.
68. The apparatus according to claim 67, characterized in that said component conversion unit converts the first elements into substantially zero.
69. The apparatus according to claim 66, characterized in that said image generation unit obtains the processed image by adding the high-frequency components converted by said component conversion unit to the low-frequency components.
70. The apparatus according to claim 69, characterized in that said component conversion unit substantially does not change the first elements.
71. The apparatus according to claim 66, characterized in that said image generation unit obtains the processed image by adding the high-frequency components converted by said component conversion unit to the low-frequency components converted at a predetermined ratio by said component conversion unit.
72. The apparatus according to claim 71, characterized in that said component conversion unit converts the first elements at the predetermined ratio.
73. The apparatus according to claim 63, characterized in that said decomposition unit decomposes the objective image into low-frequency components and high-frequency components of a plurality of frequency bands.
74. The apparatus according to claim 73, characterized in that said decomposition unit decomposes the objective image into low-frequency components and high-frequency components of a plurality of frequency bands by discrete wavelet transformation.
75. The apparatus according to claim 73, characterized in that said decomposition unit decomposes the objective image into low-frequency components and high-frequency components of a plurality of frequency bands by Laplacian pyramid transformation.
76. The apparatus according to claim 73, characterized in that said image generation unit obtains the processed image by compositing the low-frequency components and the high-frequency components of the plurality of frequency bands converted by said component conversion unit.
77. The apparatus according to claim 76, characterized in that said component conversion unit substantially does not change the first elements.
78. The apparatus according to claim 73, characterized in that said image generation unit obtains the processed image by compositing the low-frequency components converted at a predetermined ratio by said component conversion unit, and the high-frequency components of the plurality of frequency bands converted by said component conversion unit.
79. The apparatus according to claim 78, characterized in that said component conversion unit converts the first elements at the predetermined ratio.
80. The apparatus according to claim 74, characterized in that said image generation unit composites the low-frequency components and the high-frequency components of the plurality of frequency bands, which are converted by said component conversion unit, by inverse discrete wavelet transformation.
81. The apparatus according to claim 75, characterized in that said image generation unit composites the low-frequency components and the high-frequency components of the plurality of frequency bands, which are converted by said component conversion unit, by inverse Laplacian pyramid transformation.
82. The apparatus according to any one of claims 63 to 81, characterized in that the predetermined threshold value in said component conversion unit can be changed.
83. The apparatus according to any one of claims 73 to 81, characterized in that the predetermined threshold value in said component conversion unit is determined on the basis of a cumulative histogram of absolute values of elements of predetermined high-frequency components in the high-frequency components of the plurality of frequency bands.
84. The apparatus according to any one of claims 73 to 81, characterized in that the predetermined threshold value in said component conversion unit can be set for each predetermined frequency band in the plurality of frequency bands.
85. The apparatus according to any one of claims 73 to 81, characterized in that the predetermined threshold value in said component conversion unit is set to be larger as a spatial frequency of a predetermined frequency band in the plurality of frequency bands becomes lower.
86. An image processing method characterized by comprising:
a step of producing, from an objective image, low-frequency components of the objective image, and high-frequency components of at least one frequency band;
a step of converting at least the high-frequency components of the at least one frequency band of the low-frequency components and the high-frequency components of the at least one frequency band obtained in the production step; and a step of generating a processed image using the high-frequency components of the at least one frequency band converted in the conversion step, and the objective image or the low-frequency components, and in that the conversion step includes the performing first conversion for converting the high-frequency components of the at least one frequency band and the low-frequency components so that first elements having absolute values not less than a predetermined threshold value in the high-frequency components of the at least one frequency band and the low-frequency components obtained in the production step, change at substantially the same ratio upon change from the objective image to the processed image, and performing second conversion, different from the first conversion, for second elements having absolute values less than the predetermined threshold value in the high-frequency components of the at least one frequency band.
a step of producing, from an objective image, low-frequency components of the objective image, and high-frequency components of at least one frequency band;
a step of converting at least the high-frequency components of the at least one frequency band of the low-frequency components and the high-frequency components of the at least one frequency band obtained in the production step; and a step of generating a processed image using the high-frequency components of the at least one frequency band converted in the conversion step, and the objective image or the low-frequency components, and in that the conversion step includes the performing first conversion for converting the high-frequency components of the at least one frequency band and the low-frequency components so that first elements having absolute values not less than a predetermined threshold value in the high-frequency components of the at least one frequency band and the low-frequency components obtained in the production step, change at substantially the same ratio upon change from the objective image to the processed image, and performing second conversion, different from the first conversion, for second elements having absolute values less than the predetermined threshold value in the high-frequency components of the at least one frequency band.
87. A computer-readable storage medium that stores a program for making a computer implement functions of an image processing apparatus cited in any one of claims 63 to 85.
88. A computer-readable storage medium that stores a program for making a computer execute processing steps of an image processing method cited in claim 86.
89. A program for making a computer implement functions of an image processing apparatus cited in any one of claims 63 to 85.
90. A program for making a computer execute processing steps of an image processing method cited in claim 86.
91. An image processing apparatus characterized by comprising:
a decomposition unit for producing, from an objective image, low-frequency components of the objective image, and high-frequency components of at least one frequency band;
a component conversion unit for converting the low-frequency components and the high-frequency components of the at least one frequency band obtained by said decomposition unit; and an image generation unit for generating a processed image using the low-frequency components and the high-frequency components of the at least one frequency band converted by said component conversion unit, and in that said component conversion unit converts the high-frequency components of the at least one frequency band and the low-frequency components so that first elements having absolute values not less than a predetermined threshold value in the high-frequency components of the at least one frequency band and the low-frequency components obtained by said decomposition unit, change at substantially the same ratio upon change from the objective image to the processed image.
a decomposition unit for producing, from an objective image, low-frequency components of the objective image, and high-frequency components of at least one frequency band;
a component conversion unit for converting the low-frequency components and the high-frequency components of the at least one frequency band obtained by said decomposition unit; and an image generation unit for generating a processed image using the low-frequency components and the high-frequency components of the at least one frequency band converted by said component conversion unit, and in that said component conversion unit converts the high-frequency components of the at least one frequency band and the low-frequency components so that first elements having absolute values not less than a predetermined threshold value in the high-frequency components of the at least one frequency band and the low-frequency components obtained by said decomposition unit, change at substantially the same ratio upon change from the objective image to the processed image.
92. The apparatus according to claim 91, characterized in that said component conversion unit maintains second elements having absolute values less than the predetermined threshold value in the high-frequency components of the at least one frequency band substantially unchanged.
93. An image processing method characterized by comprising:
a step of producing, from an objective image, low-frequency components of the objective image, and high-frequency components of at least one frequency band;
a step of converting the low-frequency components and the high-frequency components of the at least one frequency band obtained in the production step; and a step of generating a processed image using the low-frequency components and the high-frequency components of the at least one frequency band converted in the conversion step, and in that the conversion step includes converting the high-frequency components of the at least one frequency band and the low-frequency components so that first elements having absolute values not less than a predetermined threshold value in the high-frequency components of the at least one frequency band and the low-frequency components obtained in the production step, change at substantially the same ratio upon change from the objective image to the processed image.
a step of producing, from an objective image, low-frequency components of the objective image, and high-frequency components of at least one frequency band;
a step of converting the low-frequency components and the high-frequency components of the at least one frequency band obtained in the production step; and a step of generating a processed image using the low-frequency components and the high-frequency components of the at least one frequency band converted in the conversion step, and in that the conversion step includes converting the high-frequency components of the at least one frequency band and the low-frequency components so that first elements having absolute values not less than a predetermined threshold value in the high-frequency components of the at least one frequency band and the low-frequency components obtained in the production step, change at substantially the same ratio upon change from the objective image to the processed image.
94. A computer-readable storage medium that stores a program for making a computer implement functions of an image processing apparatus cited in claim 91 or 92.
95. A computer-readable storage medium that stores a program for making a computer execute processing steps of an image processing method cited in claim 93.
96. A program for making a computer implement functions of an image processing apparatus cited in claim 91 or 92.
97. A program for making a computer execute processing steps of an image processing method cited in claim 93.
Applications Claiming Priority (7)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2000-365328 | 2000-11-30 | ||
| JP2000365328 | 2000-11-30 | ||
| JP2001-104754 | 2001-04-03 | ||
| JP2001104754 | 2001-04-03 | ||
| JP2001108984 | 2001-04-06 | ||
| JP2001-108984 | 2001-04-06 | ||
| PCT/JP2001/010388 WO2002045020A1 (en) | 2000-11-30 | 2001-11-28 | Image processing device, image processing method, storage medium, and program |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CA2427462A1 true CA2427462A1 (en) | 2003-04-29 |
| CA2427462C CA2427462C (en) | 2011-03-08 |
Family
ID=27345324
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA 2427462 Expired - Fee Related CA2427462C (en) | 2000-11-30 | 2001-11-28 | Image processing device, image processing method, storage medium, and program |
Country Status (7)
| Country | Link |
|---|---|
| US (3) | US7079700B2 (en) |
| EP (2) | EP1341123B1 (en) |
| JP (1) | JP3833177B2 (en) |
| KR (1) | KR100574536B1 (en) |
| CN (1) | CN1271567C (en) |
| CA (1) | CA2427462C (en) |
| WO (1) | WO2002045020A1 (en) |
Families Citing this family (53)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002045020A1 (en) * | 2000-11-30 | 2002-06-06 | Canon Kabushiki Kaisha | Image processing device, image processing method, storage medium, and program |
| EP1339018B1 (en) * | 2000-11-30 | 2008-12-17 | Canon Kabushiki Kaisha | Image processing device, image processing method, recording medium and program |
| JP3754933B2 (en) * | 2001-06-19 | 2006-03-15 | キヤノン株式会社 | Image processing apparatus, image processing system, image processing method, program, and storage medium |
| US7391919B2 (en) * | 2002-01-23 | 2008-06-24 | Canon Kabushiki Kaisha | Edge correction apparatus, edge correction method, program, and storage medium |
| JP4237442B2 (en) * | 2002-03-01 | 2009-03-11 | 株式会社半導体エネルギー研究所 | Transflective liquid crystal display device |
| JP4087620B2 (en) * | 2002-03-01 | 2008-05-21 | 株式会社半導体エネルギー研究所 | Method for manufacturing liquid crystal display device |
| JP4101533B2 (en) * | 2002-03-01 | 2008-06-18 | 株式会社半導体エネルギー研究所 | Method for manufacturing transflective liquid crystal display device |
| EP1497989A1 (en) * | 2002-04-19 | 2005-01-19 | Qinetiq Limited | Data compression for colour images using wavelet transform |
| JP2004053584A (en) * | 2002-05-30 | 2004-02-19 | Canon Inc | Image correction apparatus and method |
| US7558441B2 (en) * | 2002-10-24 | 2009-07-07 | Canon Kabushiki Kaisha | Resolution conversion upon hierarchical coding and decoding |
| JP2004171301A (en) | 2002-11-20 | 2004-06-17 | Canon Inc | Image processing method and device |
| US7548656B2 (en) * | 2003-01-16 | 2009-06-16 | Konica Minolta Holdings, Inc. | Method and apparatus for processing image signals by applying a multi-resolution conversion processing for reducing the image size and applying a dyadic wavelet transform |
| US7315656B2 (en) * | 2003-05-22 | 2008-01-01 | The Boeing Company | Methods and apparatus for enhanced viewing of aerial refueling operations |
| JP4579507B2 (en) * | 2003-06-10 | 2010-11-10 | キヤノン株式会社 | Image processing device |
| US7266229B2 (en) * | 2003-07-24 | 2007-09-04 | Carestream Health, Inc. | Method for rendering digital radiographic images for display based on independent control of fundamental image quality parameters |
| US7817731B2 (en) * | 2003-09-22 | 2010-10-19 | Infineon Technologies Ag | Amplitude compression of signals in a multicarrier system |
| US7496560B2 (en) * | 2003-09-23 | 2009-02-24 | Amazon Technologies, Inc. | Personalized searchable library with highlighting capabilities |
| WO2005031526A2 (en) * | 2003-09-23 | 2005-04-07 | Amazon.Com, Inc. | Personalized searchable library based on user ownership |
| JP4626138B2 (en) * | 2003-09-30 | 2011-02-02 | コニカミノルタエムジー株式会社 | Image processing apparatus, image processing method, and program |
| JP4500539B2 (en) * | 2003-12-26 | 2010-07-14 | キヤノン株式会社 | Image processing apparatus, image processing method, program, and storage medium |
| US8218625B2 (en) | 2004-04-23 | 2012-07-10 | Dolby Laboratories Licensing Corporation | Encoding, decoding and representing high dynamic range images |
| CN100361495C (en) * | 2004-06-23 | 2008-01-09 | 夏普株式会社 | Image processing method, image processing apparatus and image forming apparatus |
| JP4546174B2 (en) * | 2004-07-15 | 2010-09-15 | キヤノン株式会社 | Imaging apparatus, control method therefor, and program |
| US8594448B2 (en) * | 2004-08-16 | 2013-11-26 | Hewlett-Packard Development Company, L.P. | Bi-selective filtering in transform domain |
| JP2006072401A (en) * | 2004-08-31 | 2006-03-16 | Fujitsu Ltd | Image compounding device and method |
| EP1820447B1 (en) * | 2004-12-10 | 2012-06-06 | Konica Minolta Medical & Graphic, Inc. | Image processing device, image processing method, and image processing program |
| US7791656B2 (en) * | 2005-08-16 | 2010-09-07 | Konica Minolta Holdings, Inc. | Image sensing apparatus and image processing method |
| JP4700445B2 (en) * | 2005-09-01 | 2011-06-15 | オリンパス株式会社 | Image processing apparatus and image processing program |
| EP1777938A1 (en) * | 2005-10-19 | 2007-04-25 | Thomson Licensing | Method, system and device for colour quality control |
| DE102007061934A1 (en) * | 2007-12-21 | 2009-06-25 | Siemens Aktiengesellschaft | Method for improving the quality of computer tomographic acquisition series by projection data processing and CT system with arithmetic unit |
| US8115967B2 (en) * | 2006-11-28 | 2012-02-14 | Silverbrook Research Pty Ltd | Localized signal data preservation within signal bandwidth |
| WO2008111236A1 (en) * | 2007-03-14 | 2008-09-18 | Olympus Corporation | Image processing system and image processing program |
| JP4918026B2 (en) * | 2007-12-21 | 2012-04-18 | 株式会社リコー | Image coding apparatus, image coding method, computer program, and information recording medium |
| US8233692B2 (en) * | 2008-02-27 | 2012-07-31 | Siemens Computer Aided Diagnosis Ltd. | Method of suppressing obscuring features in an image |
| WO2009128213A1 (en) * | 2008-04-14 | 2009-10-22 | 株式会社日立メディコ | Medical diagnostic device and method of improving image quality of medical diagnostic device |
| JP2011005050A (en) * | 2009-06-26 | 2011-01-13 | Canon Inc | Image processing method and image processing apparatus |
| US8401265B2 (en) | 2010-05-10 | 2013-03-19 | Canon Kabushiki Kaisha | Processing of medical image data |
| JP5365578B2 (en) * | 2010-05-14 | 2013-12-11 | 株式会社島津製作所 | Image processing method and radiation imaging apparatus using the same |
| JP2011255032A (en) * | 2010-06-10 | 2011-12-22 | Shimadzu Corp | Image processing method and radiographic apparatus using the same |
| JP5818475B2 (en) * | 2011-03-24 | 2015-11-18 | 富士フイルム株式会社 | Image processing apparatus, image processing method, and image processing program |
| US9036042B2 (en) | 2011-04-15 | 2015-05-19 | Dolby Laboratories Licensing Corporation | Encoding, decoding, and representing high dynamic range images |
| US8334911B2 (en) | 2011-04-15 | 2012-12-18 | Dolby Laboratories Licensing Corporation | Encoding, decoding, and representing high dynamic range images |
| TWI521973B (en) | 2011-04-15 | 2016-02-11 | 杜比實驗室特許公司 | Encoding, decoding, and representing high dynamic range images |
| CN103918274B (en) * | 2011-11-01 | 2015-08-26 | 杜比实验室特许公司 | To the self adaptation false contouring prevention had in the hierarchical coding of dynamic range expanded image |
| JP5586031B2 (en) * | 2012-03-21 | 2014-09-10 | オリンパス株式会社 | Image processing system, image processing method, and image processing program |
| JP5777650B2 (en) * | 2013-01-29 | 2015-09-09 | 富士フイルム株式会社 | Ultrasonic diagnostic apparatus and ultrasonic image generation method |
| JP6283875B2 (en) * | 2013-09-05 | 2018-02-28 | キヤノンメディカルシステムズ株式会社 | Medical image processing apparatus, X-ray diagnostic apparatus, and X-ray computed tomography apparatus |
| US9342874B2 (en) * | 2014-01-16 | 2016-05-17 | Megachips Corporation | Noise determination apparatus and method, and noise filter |
| KR102211592B1 (en) * | 2014-03-19 | 2021-02-04 | 삼성전자주식회사 | Electronic device for processing image and method thereof |
| EP3162067B1 (en) * | 2014-06-25 | 2021-03-31 | InterDigital VC Holdings, Inc. | Method and device for processing images |
| US10343774B2 (en) * | 2015-07-14 | 2019-07-09 | Jeremy Duque | Quad rotor aircraft with fixed wing and variable tail surfaces |
| MX2018000575A (en) * | 2015-07-16 | 2018-08-21 | Thomson Licensing | A method and device for tone-mapping a picture by using a parametric tone-adjustment function. |
| JP7352447B2 (en) | 2019-11-12 | 2023-09-28 | 株式会社ニューフレアテクノロジー | Pattern inspection device and pattern inspection method |
Family Cites Families (41)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS58182957A (en) * | 1982-04-20 | 1983-10-26 | Fuji Photo Film Co Ltd | Sharpness emphasizing system for picture |
| US4618990A (en) | 1984-11-15 | 1986-10-21 | General Electric Company | Edge enhancement filtering for digital fluorography images |
| DE3629409C2 (en) * | 1986-08-29 | 1994-02-17 | Agfa Gevaert Ag | Method and device for contrast evaluation in electronic image processing |
| US5253082A (en) * | 1988-03-10 | 1993-10-12 | Canon Kabushiki Kaisha | Image forming apparatus |
| US5012096A (en) | 1989-05-20 | 1991-04-30 | Fujitsu Limited | Digital X-ray apparatus |
| US5086488A (en) | 1989-08-19 | 1992-02-04 | Mitsubishi Denki Kabushiki Kaisha | Transform coding apparatus |
| JP2663189B2 (en) * | 1990-01-29 | 1997-10-15 | 富士写真フイルム株式会社 | Image dynamic range compression processing method |
| JP2574923B2 (en) * | 1990-04-10 | 1997-01-22 | 大日本スクリーン製造株式会社 | Outline enhancement method and image processing device |
| JP3114208B2 (en) * | 1991-01-08 | 2000-12-04 | 日本電気株式会社 | Adaptive image enhancement circuit |
| JPH04284066A (en) * | 1991-03-13 | 1992-10-08 | Mitsubishi Electric Corp | Video printer |
| US5437553A (en) * | 1991-04-08 | 1995-08-01 | Collins; Deborah L. | Method and apparatus for automated learning and performance evaluation |
| DE69214229T2 (en) | 1991-08-14 | 1997-04-30 | Agfa Gevaert Nv | Method and device for improving the contrast of images |
| JP2509503B2 (en) | 1992-09-11 | 1996-06-19 | コニカ株式会社 | Image processing method and apparatus |
| EP0610604A1 (en) * | 1993-02-11 | 1994-08-17 | Agfa-Gevaert N.V. | Multiple processing of radiographic images based on a pyramidal image decomposition |
| JP3205417B2 (en) * | 1993-03-18 | 2001-09-04 | 富士写真フイルム株式会社 | Image processing method |
| JPH06274614A (en) * | 1993-03-18 | 1994-09-30 | Fuji Photo Film Co Ltd | Image processing method |
| DE69615994T2 (en) * | 1995-06-23 | 2002-06-06 | Koninkl Philips Electronics Nv | IMAGE PROCESSING METHOD FOR NOISE REDUCTION |
| US6009208A (en) | 1995-08-21 | 1999-12-28 | Lucent Technologies Inc. | System and method for processing space-time images |
| JPH0991423A (en) | 1995-09-28 | 1997-04-04 | Fuji Photo Film Co Ltd | Image processing method and processor |
| KR100206319B1 (en) * | 1995-12-13 | 1999-07-01 | 윤종용 | Local contrast improving method and apparatus of a video signal |
| JPH09212623A (en) * | 1996-01-30 | 1997-08-15 | Fuji Photo Film Co Ltd | Image processing method |
| US5799112A (en) * | 1996-08-30 | 1998-08-25 | Xerox Corporation | Method and apparatus for wavelet-based universal halftone image unscreening |
| JPH10164469A (en) * | 1996-11-29 | 1998-06-19 | Sony Corp | Image enhancing device, image enhancing method and video printer |
| JP3700804B2 (en) | 1996-12-13 | 2005-09-28 | 富士写真フイルム株式会社 | Image processing method and apparatus |
| JPH10302052A (en) * | 1997-04-23 | 1998-11-13 | Ricoh Co Ltd | Image processing system |
| JP3213582B2 (en) * | 1997-05-29 | 2001-10-02 | シャープ株式会社 | Image encoding device and image decoding device |
| JP3746596B2 (en) * | 1997-07-23 | 2006-02-15 | 株式会社リコー | Image processing device |
| JPH1166280A (en) * | 1997-08-25 | 1999-03-09 | Shimadzu Corp | Medical image processor |
| JP3781883B2 (en) * | 1997-12-11 | 2006-05-31 | 株式会社リコー | Image processing device |
| JP3631609B2 (en) * | 1998-03-20 | 2005-03-23 | 株式会社リコー | Image processing apparatus and image processing method |
| JPH11355575A (en) * | 1998-04-09 | 1999-12-24 | Ricoh Co Ltd | Image processor |
| US7050648B1 (en) * | 1998-09-18 | 2006-05-23 | Canon Kabushiki Kaisha | Image processing apparatus, image processing method, and recording medium |
| US6434265B1 (en) * | 1998-09-25 | 2002-08-13 | Apple Computers, Inc. | Aligning rectilinear images in 3D through projective registration and calibration |
| DE19849090A1 (en) | 1998-10-24 | 2000-04-27 | Philips Corp Intellectual Pty | Process for processing an input image |
| US6167165A (en) | 1998-11-25 | 2000-12-26 | Eastman Kodak Company | Method for adjusting image detail to compensate for an applied tone scale |
| JP4244094B2 (en) * | 1999-02-17 | 2009-03-25 | 富士フイルム株式会社 | Image processing method and apparatus, and recording medium |
| JP3733260B2 (en) | 1999-04-30 | 2006-01-11 | キヤノン株式会社 | Image processing apparatus and image processing method |
| EP1339018B1 (en) | 2000-11-30 | 2008-12-17 | Canon Kabushiki Kaisha | Image processing device, image processing method, recording medium and program |
| WO2002045020A1 (en) * | 2000-11-30 | 2002-06-06 | Canon Kabushiki Kaisha | Image processing device, image processing method, storage medium, and program |
| JP3754933B2 (en) | 2001-06-19 | 2006-03-15 | キヤノン株式会社 | Image processing apparatus, image processing system, image processing method, program, and storage medium |
| JP2004171301A (en) | 2002-11-20 | 2004-06-17 | Canon Inc | Image processing method and device |
-
2001
- 2001-11-28 WO PCT/JP2001/010388 patent/WO2002045020A1/en active IP Right Grant
- 2001-11-28 CA CA 2427462 patent/CA2427462C/en not_active Expired - Fee Related
- 2001-11-28 JP JP2002547110A patent/JP3833177B2/en not_active Expired - Lifetime
- 2001-11-28 EP EP20010998180 patent/EP1341123B1/en not_active Expired - Lifetime
- 2001-11-28 EP EP20070075246 patent/EP1816603A1/en not_active Withdrawn
- 2001-11-28 CN CNB018198422A patent/CN1271567C/en not_active Expired - Lifetime
- 2001-11-28 KR KR1020037007214A patent/KR100574536B1/en active IP Right Grant
-
2002
- 2002-06-12 US US10/166,657 patent/US7079700B2/en not_active Expired - Fee Related
-
2006
- 2006-03-14 US US11/374,214 patent/US7558434B2/en not_active Expired - Fee Related
-
2007
- 2007-04-09 US US11/733,090 patent/US7561750B2/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| JP3833177B2 (en) | 2006-10-11 |
| CN1478251A (en) | 2004-02-25 |
| CN1271567C (en) | 2006-08-23 |
| WO2002045020A9 (en) | 2002-11-14 |
| KR100574536B1 (en) | 2006-04-27 |
| US20060171601A1 (en) | 2006-08-03 |
| EP1816603A1 (en) | 2007-08-08 |
| KR20030066687A (en) | 2003-08-09 |
| US7561750B2 (en) | 2009-07-14 |
| EP1341123A4 (en) | 2007-07-25 |
| US20070189391A1 (en) | 2007-08-16 |
| US7079700B2 (en) | 2006-07-18 |
| CA2427462C (en) | 2011-03-08 |
| US20030016855A1 (en) | 2003-01-23 |
| WO2002045020A1 (en) | 2002-06-06 |
| EP1341123B1 (en) | 2015-04-22 |
| JPWO2002045020A1 (en) | 2004-04-02 |
| US7558434B2 (en) | 2009-07-07 |
| EP1341123A1 (en) | 2003-09-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CA2427462A1 (en) | Image processing device, image processing method, storage medium, and program | |
| Lee | An efficient content-based image enhancement in the compressed domain using retinex theory | |
| JP2002216126A5 (en) | ||
| US7248748B2 (en) | Image processing apparatus, image processing method, storage medium, and program | |
| US7627169B2 (en) | Image processing apparatus and method | |
| EP1156451A3 (en) | Image processing method and apparatus | |
| US8687907B2 (en) | Image processing apparatus and image processing method | |
| CN106570843A (en) | Adaptive wavelet threshold function image noise suppression method | |
| JP4874184B2 (en) | Image processing apparatus and image processing method | |
| CN107194889A (en) | The bilateral full variational regularization image denoising method of piecemeal | |
| CN115496695A (en) | High-dynamic infrared image self-adaptive enhancement and compression method | |
| JP2000224421A (en) | Image processing method and device and recording medium | |
| Walker et al. | Image denoising using tree-based wavelet subband correlations and shrinkage | |
| CN113592725A (en) | Medical optical imaging noise elimination method | |
| WO2006117919A1 (en) | Image processing method, image processing device and image processing program | |
| JP2002074356A (en) | Method and device for processing picture and recording medium | |
| CN107301627B (en) | Artifact removing and enhancing method and device for dynamic image unsharp mask | |
| Kawasaki et al. | A multiscale retinex based on wavelet transformation | |
| JP2000101841A5 (en) | ||
| JP2003337942A (en) | Image processor | |
| Momoh | LWT-CLAHE Based Color Image Enhancement Technique: An Improved Design | |
| Wu | Efficient reduction of artifact effect based on power and entropy measures | |
| Liu et al. | A novel fuzzy wavelet approach to contrast enhancement | |
| JP4458325B2 (en) | Image processing device | |
| Chen et al. | A Modified SLT Denoising Method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| EEER | Examination request | ||
| MKLA | Lapsed |
Effective date: 20171128 |