WO2008013192A1 - Procédé de détermination de matrice de conversion, appareil de traitement d'images, programme de traitement d'images et appareil d'imagerie - Google Patents
Procédé de détermination de matrice de conversion, appareil de traitement d'images, programme de traitement d'images et appareil d'imagerie Download PDFInfo
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- WO2008013192A1 WO2008013192A1 PCT/JP2007/064558 JP2007064558W WO2008013192A1 WO 2008013192 A1 WO2008013192 A1 WO 2008013192A1 JP 2007064558 W JP2007064558 W JP 2007064558W WO 2008013192 A1 WO2008013192 A1 WO 2008013192A1
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- color space
- color
- conversion matrix
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- image signal
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- 238000006243 chemical reaction Methods 0.000 title claims abstract description 120
- 239000011159 matrix material Substances 0.000 title claims abstract description 98
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000012545 processing Methods 0.000 title claims description 48
- 238000003384 imaging method Methods 0.000 title claims description 10
- 238000005259 measurement Methods 0.000 claims abstract description 8
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- 230000000007 visual effect Effects 0.000 claims description 18
- 230000003287 optical effect Effects 0.000 claims description 9
- 230000006978 adaptation Effects 0.000 claims description 8
- 238000004737 colorimetric analysis Methods 0.000 claims description 5
- 239000003086 colorant Substances 0.000 abstract description 11
- 230000008569 process Effects 0.000 abstract description 8
- 230000008859 change Effects 0.000 abstract description 3
- 238000012937 correction Methods 0.000 description 18
- 238000010586 diagram Methods 0.000 description 16
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- 238000001000 micrograph Methods 0.000 description 9
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- 230000003044 adaptive effect Effects 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/67—Circuits for processing colour signals for matrixing
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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
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/603—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer
- H04N1/6033—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer using test pattern analysis
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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
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/603—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer
- H04N1/6052—Matching two or more picture signal generators or two or more picture reproducers
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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
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/6083—Colour correction or control controlled by factors external to the apparatus
- H04N1/6086—Colour correction or control controlled by factors external to the apparatus by scene illuminant, i.e. conditions at the time of picture capture, e.g. flash, optical filter used, evening, cloud, daylight, artificial lighting, white point measurement, colour temperature
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/843—Demosaicing, e.g. interpolating colour pixel values
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/85—Camera processing pipelines; Components thereof for processing colour signals for matrixing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/10—Circuitry of solid-state image sensors [SSIS]; Control thereof for transforming different wavelengths into image signals
- H04N25/11—Arrangement of colour filter arrays [CFA]; Filter mosaics
- H04N25/13—Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements
- H04N25/134—Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements based on three different wavelength filter elements
Definitions
- the present invention relates to a conversion matrix determination method for determining a conversion matrix for color conversion of a captured image, an image processing device, an image processing program, and an imaging device equipped with the determined conversion matrix.
- Image data expressed in a non-linear color space for each intensity signal of the three primary colors of light is V, and is expressed in a linear color space for each intensity signal of the three primary colors of light.
- V image data expressed in a non-linear color space for each intensity signal of the three primary colors of light.
- Patent Document 1 discloses Patent Document 1
- Patent Document 1 JP 2002-116750 A
- a conversion matrix determining method for determining a conversion matrix to be used in a color conversion process of a captured image, the image data captured under a certain condition and an object of the image data. Colorimetric values under the same conditions are acquired, and the acquired image data and colorimetric values are used to determine a conversion matrix for color-converting image signals in a nonlinear color space in which luminance values change nonlinearly.
- the condition is preferably a condition for the optical system between the object and the imaging device used for capturing the image data or the measuring instrument used for obtaining the colorimetric values.
- an image signal in the first color space which is a nonlinear color space of image data is acquired, and the first color is obtained.
- the image signal in the space is converted into an image signal in the second color space, which is a linear color space that changes linearly with respect to the luminance value by non-linear transformation, and the image signal in the second color space is converted into the third color space in the linear color space.
- the temporary conversion matrix for color conversion to the image signal in the color space is determined, and the image signal in the second color space is converted to the image signal in the third color space using the determined temporary conversion matrix.
- the image signal in the third color space is converted into the image signal in the fourth color space, which is a nonlinear color space, by nonlinear conversion, and the image signal in the first color space is color-converted using the conversion matrix.
- the color difference between the image signal in the fourth color space is minimized, preferably to determine the transformation matrix.
- the temporary conversion matrix is determined in consideration of the difference between the visual environment at the time of image data shooting and the visual environment at the time of image data reproduction. It is preferable that the conversion matrix is a modified one.
- the object is color-measured in the visual environment at the time of image data shooting, and the visual environment is determined from the colorimetric values measured.
- the color of the measured color is predicted in the third color space, and based on the image data in the second color space and the predicted color in the third color space. It is preferred to determine the transformation matrix.
- the nonlinear conversion from the first color space to the second color space is performed by the fourth color space. Is preferably equivalent to a non-linear transformation from to the third color space.
- the specific color is preferably a color that appears frequently in the captured image.
- the conversion matrix to be determined is an image processing program mounted on a digital camera for a microscope.
- the object of the image data used in the above is preferably an object that develops a color that frequently appears in the observation image of the microscope.
- the conversion matrix determination method for determining the conversion matrix used in the color conversion processing of the photographed image acquires an image signal in the first color space which is a nonlinear color space, and The image signal in the first color space is converted to the image signal in the second color space, which is a linear color space that changes linearly with respect to the luminance value by nonlinear conversion, and the image signal in the second color space is the linear color space.
- Determine a first conversion matrix for color conversion to an image signal in the third color space and use the determined first conversion matrix to convert the image signal in the second color space to the image signal in the third color space.
- the image signal in the third color space is converted to an image signal in the fourth color space, which is a nonlinear color space, by non-linear conversion, and the image signal in the first color space is converted into a conversion matrix.
- the conversion matrix is determined so that the color difference between the image signal color-converted using the status and the image signal in the fourth color space is minimized.
- the image processing program is a program that causes a computer to execute the conversion matrix determination method according to any one of the first to ninth aspects.
- an image processing apparatus includes the image processing program according to the tenth aspect.
- an imaging apparatus includes an image processing program that uses a conversion matrix determined by the conversion matrix determination method according to any one of the first to ninth aspects.
- FIG. 1 is a diagram showing a microscope observation system including a microscope 1, a microscope digital camera 2 and a monitor 3.
- FIG. 2 is a diagram showing a flow of image processing in a general digital camera.
- FIG. 3 is a diagram showing a flow of image processing in the digital camera 2.
- FIG. 4 is a diagram showing a personal computer 21 used to determine Matrixl.
- FIG. 5 is a diagram showing a flow of an image processing program processed in the personal computer 21 in order to determine Matrixl.
- FIG. 6 is a diagram for explaining the flow of processing for determining Matrixl.
- FIG. 7 is a diagram showing the relationship among a personal computer 21, a digital camera 22, a spectrocolorimeter 23, and a microscope 1.
- FIG. 8 is a diagram showing how the personal computer 21 receives provision of an image processing program.
- a photographed image obtained by photographing a microscope image (referred to as an image magnified by a microscope) with a camera is made to look close to a microscope observation image actually seen with the naked eye.
- a method will be described. Specifically, a method for determining a conversion matrix to be used when color conversion processing is performed on an image captured by the camera inside the camera will be described.
- FIG. 1 is a diagram showing a microscope observation system including a microscope 1, a digital camera for a microscope (hereinafter also simply referred to as a digital camera) 2, and a motor 3.
- Digital camera 2 and monitor 3 are connected by cable 4.
- the specimen 12 is illuminated by the illumination light source 11, and an enlarged specimen image can be observed by the objective lens 13 and the eyepiece 14.
- a digital camera 2 is attached to the top of the microscope 1.
- the digital camera 2 uses the power S to display the captured image on the monitor 3 connected to the digital camera 2 in real time.
- the microscope 1 has a visual field switching switch 15 and switches the visual field between the eyepiece 14 side and the digital camera 2 side.
- the specimen 12 can be directly observed visually through the eyepiece 14, or the image of the microscope image taken by the digital camera 2 can be displayed on the monitor 3, and the specimen 12 can be observed on the monitor 3.
- the field-of-view switching switch 15 can also halve the light just by switching completely between the eyepiece 14 side and the digital camera 2 side. This allows observation from the eyepiece 14 side and the monitor 3 side simultaneously. It becomes ability.
- the microscopic image obtained by direct observation through the eyepiece 14 of the microscope 1 and the image of the microscopic image captured by the digital camera 2 and displayed on the monitor 3 are digitally displayed.
- a predetermined color conversion process is performed in the camera 2.
- the factors that affect the appearance of the displayed images on the microscope 1 and the monitor 3 are mainly the difference in color temperature between the light source 11 and the monitor 3, the difference in illumination brightness between the light source 11 and the monitor 3, and the eyepiece 14
- the color temperature of monitor 3 is determined to be D65 in the standard visual environment S
- the color temperature of the microscope illumination is determined by the characteristics of the lamp used in the light source 11 and is about 3000K to 5000K. Low! /, Often in color temperature. Therefore, if the color of the light source 11 for illumination and the color temperature of the monitor 3 are taken into consideration and not displayed on the monitor 3, the eyepiece 14 will look different in color from the microscope observation image viewed directly with the naked eye.
- the luminance is determined to be 80 Cd / m 2 in the standard viewing environment, and in the case of a commonly used LCD, it can only be set to about 200 Cd / m 2 at the maximum. Actually, even if the maximum brightness is set, the brightness decreases due to deterioration over time, so it is often used at 200 Cd / m 2 or less. On the other hand, if you observe the microscope 1 through the eyepiece 14, the luminance one order of magnitude than when 1000 Cd / m 2 or more and monitor observation in some cases tags that are observed at 300 cd / m 2 or more on There are also conditions to observe at high brightness and brightness!
- the influence of ambient lighting is also different.
- the microscopic image can be seen, so the influence of the surroundings (whether the surroundings are bright or not) is very much received!
- the monitor display image appears to be lower in contrast than when directly observing with the eyepiece 14.
- the color temperature of the monitor 3 is different from the color temperature of the ambient light, the vision is also affected by the color temperature of the ambient light, so it is necessary to consider the color temperature of the ambient light.
- the specimen 12 is used for direct observation through the eyepiece 14 and indirect observation through the monitor 3.
- the image processing described below is performed inside the digital camera 2 so that the image of the microscope observation image becomes closer. Digi Since the tall camera 2 displays the microscopic observation image of the specimen 12 in real time on the monitor 3, high-speed processing is required. Therefore, the digital camera 2 can realize high-speed image processing as described below!
- FIG. 2 is a diagram showing the flow of image processing in a general digital camera.
- the captured image is subjected to several image processing such as interpolation processing and color conversion processing, and an output image is created.
- the conversion is a linear conversion.
- the output target color space is a standard color space such as sRGB.
- non-linear color space image R G ⁇
- This color space image (R G ⁇ ) is used for display on a monitor.
- the subject is limited in the case of the digital camera 2 for a microscope as in the present application!
- the colors of subjects displayed depending on the type of staining are mainly limited, and it is not necessary to reproduce all colors and gradations in a single image unlike landscape photographs.
- FIG. 3 is a diagram showing a flow of image processing in the digital camera 2.
- an input image (image signal) (R G B) in a color space photographed with a digital camera is input to STEP 11. And in STEP11, input the color space
- the image GB) is nonlinearly transformed using the user tone correction characteristic ⁇ .
- User gradation complement The positive characteristic ⁇ is a gradation correction characteristic ⁇ that takes into account interpolation processing and image creation at the time of output, which are not the same as the interpolation gradation correction characteristic ⁇ in FIG. For example, ⁇ with characteristics like an S curve. Therefore, in STEP 11, an image (RG ⁇ ) in a non-linear color space suitable for interpolation processing and output is generated.
- a processed image (R G ⁇ ) is generated.
- the image is output from the interpolated nonlinear color space image (R G ⁇ ) to the image signal output color space image (R G ⁇ ) using a 3 X 3 matrix.
- the color space for image signal output (R G B) is the color space targeted for output.
- the nonlinear color space image (R G B) is subjected to matrix conversion by the linear transformation Matrixl to generate the nonlinear color space image (R G B).
- the matrix used in STEP 14 needs to be a matrix that is appropriately adjusted according to the sample to be observed.
- Matrixl adjustment that is, Matrixl determination method will be described.
- FIG. 4 is a diagram showing a personal computer 21 used for determining Matrixl. Connected to the personal computer 21 are a digital camera 22, a spectrocolorimeter 23, and a monitor 24.
- FIG. 7 is a diagram showing the relationship among the personal computer 21, the digital camera 22, the spectrocolorimeter 23, and the microscope 1.
- the digital camera 22 is mounted on the microscope 1 as shown in FIG. 7, and outputs a photographed microscopic image to the personal computer 21.
- the image output from the digital camera 22 is raw data that has not been subjected to image processing, and is an image (RGB) in the color space described above.
- the spectrocolorimeter 23 can be mounted on the microscope 1 in the same manner as the digital camera 22.
- the spectrocolorimeter 23 and the digital camera 22 are mounted on the microscope 1 so that their optical axes coincide with the optical axes of the objective lens 13 and the eyepiece 14 of the microscope 1, and the field-switching switch 15 is provided. It is used to measure the field of view twice on the optical axis of the microscope image, and the obtained colorimetric value is output to the personal computer 21.
- Colorimetric values are expressed in the CIE1931XYZ color system.
- the spectrophotometer 23 can measure the colorimetric value corresponding to the average pixel value within the radius r pixel range of the center of the captured image. Note that the corresponding radius r of the photographed image varies depending on the magnification of the objective lens 13 and the measurement angle of the spectrocolorimeter 23, so that the observation from the measurement range observation window 25 in the spectrocolorimeter 23 and the photographed image are taken. Determine r from comparison with.
- the monitor 24 has the same characteristics as the monitor 3 in FIG. 1 such as color temperature.
- FIG. 5 is a diagram showing a flow of an image processing program processed in the personal computer 21 in order to determine Matrixl.
- FIG. 6 is a diagram for explaining the flow of processing for determining Matrixl. The processing flow in FIG. 6 corresponds to FIG. 2 showing the flow of image processing in the above-described general digital camera.
- An image processing program executed by the personal computer 21 is provided via a recording medium such as a CD-ROM, the Internet, or other electric communication line, and is installed in the personal computer 21.
- the personal computer 21 includes a CPU (not shown) and its peripheral circuits (not shown), and executes a program in which the CPU is installed.
- FIG. 8 is a diagram showing how the personal computer 21 receives provision of an image processing program.
- the personal computer 21 provides the program via the CD-ROM 104. Receive a gift.
- the personal computer 21 has a function of connecting to the communication line 101.
- a computer 102 is a server computer that provides the program, and stores the program in a recording medium such as a hard disk 103.
- the communication line 101 is a communication line such as the Internet or a dedicated communication line.
- the computer 102 reads the program using the hard disk 103 and transmits the program to the personal computer 21 via the communication line 101. That is, the program is transmitted as a data signal on a carrier wave via the communication line 101.
- the program can be supplied as a computer-readable computer program product in various forms such as a recording medium, a data signal and a carrier wave carrying a data signal.
- step S1 photographing of the N color patches and colorimetry are performed in steps S1 to S3 in FIG.
- the observer moves the stage (not shown) of the microscope 1 to set a portion of the specimen 12 that is colored (colored) on the optical axis, and present that color! /, Is the i-th color patch.
- step S2 the visual field switching switch 15 is switched to the spectrocolorimeter 23 side by the observer, and the spectrophotometer 23 measures the color, and the personal computer 21 measures the measurement output from the spectrocolorimeter 23. Get the color value (XYZ).
- the spectrocolorimeter 23, the digital camera 22, and the objective lens 13 and eyepiece 14 of the microscope 1 are provided so that their optical axes coincide with each other.
- the i-th color patch under the microscope illumination photographed by 22 can be measured. That is, conditions such as illumination and setting for the optical system existing between the specimen 12 and the digital camera 22 and between the specimen 12 and the digital camera 22 are the same.
- step S3 it is determined whether or not the shooting of the N color patches and the color measurement have been completed. If the shooting of the N color patches and the colorimetry are completed! /, NA! /, Return to step S1 and repeat the process. If completed, proceed to step S4. Since the processing of step S1 and step S2 is performed continuously for the same color notch, the deviation between the center of the captured image and the center of the colorimetric range is minimized. The ability to make S When shooting (S1) and colorimetry (S2) for a color patch is completed, repeat the shooting (S1) and colorimetry (S2) for the next color patch! /, N patches.
- the N color patches are extracted from the part that shows the characteristic color of the actual sample to be observed and the part of the microscope image that transmits the preparation corresponding to white. That is, the N color patch is a color that appears frequently in the observation image of the microscope. In other words, it is a color that appears frequently in the captured image in the target imaging system.
- the gradation correction characteristics ⁇ used in STEP21 and STEP23 are the gradation correction characteristics ⁇ for interpolation shown in Fig. 2 and the user gradation correction characteristics ⁇ used in STEP11 in Fig. 3 Use.
- the color temperature of the light source differs between when the microscope image is visually observed and when observed through the monitor. Color conversion under illumination with different color temperatures can be predicted using von Kries' Equation 1 below. Therefore, using von Kries' equation 1, the output target value R
- A is a matrix for converting tristimulus values into cone response LMS, and for example, a CAT02 conversion matrix or the like can be used.
- the white that has been adapted when observing the monitor is affected not only by the white of the monitor but also by the white of the ambient lighting (for example, lighting in the laboratory), so it is considered as a mixture of the two.
- Matrix3 is the most Since it is a transformation matrix for finally obtaining Matrixl, it can be said to be a temporary or temporary transformation matrix.
- Step S8 corresponds to STEP24 in FIG. Step S
- Step S9 corresponds to STEP25 in FIG.
- step S12 the adaptation factor used in the creation of Matrix3 and the mixing ratio of the three illuminations (microscope, monitor, monitor ambient) are not appropriate. Change these parameters and return to step S6 to repeat the process.
- step S13 the output gradation correction characteristic ⁇ is optimized.
- the output tone correction characteristic ⁇ is changed so that the contrast displayed on the monitor is close to the contrast that can be seen with a microscope, and the monitor display image has a preferable contrast expression. Adjust.
- Matrk3 can be adjusted with high accuracy by making fine adjustments to the color appearance in a linear space in the same way as a general digital camera.
- the matrix determined in this way is incorporated into the image processing program of the digital camera 2 that performs the image processing shown in FIG.
- the image signal (RGB) in the non-linear color space is subjected to matrix conversion by the optimally adjusted linear transformation Matrixl to generate the image signal (RGB) in the output image signal color space.
- This achieves high-speed processing while maintaining good color reproducibility. That is, it is possible to display on the monitor in real time an image that is close in color to the observation image of the microscope viewed with the naked eye.
- non-linear transformation can be omitted twice compared to a general digital camera, enabling high-speed processing.
- Matrk3 used for color conversion in the linear space is adjusted appropriately in the linear space. As a result, fine adjustment of color appearance is performed in a linear space like a general digital camera, so Matrk3 can be adjusted with high accuracy. Since the final Matrixl is adjusted using Matrk3 adjusted with high accuracy in this way, the optimal Matrixl can be obtained.
- Matrk3 When determining Matrk3, it is performed in consideration of chromatic adaptation due to differences in visual environment, and therefore, it is possible to determine appropriate Matrk3 with high accuracy. In particular, since a known color adaptation formula is used using colorimetric values, Matrk3 can be easily and accurately determined.
- STEP14 and STEP16 are performed twice in succession, so Matrixl X Matrix2 may be calculated in advance.
- the present invention is not necessarily limited to the digital camera 2 for a microscope.
- the present invention can be applied to any imaging device capable of mounting Matrixl obtained as described above. In particular, it works effectively for an imaging device that captures an image of a subject with a limited or specified color (specimen, sample, etc.).
- the gradation correction characteristic ⁇ in STEP 11 in FIG. 3 and STEP 21 in FIG. 6 is set as the user gradation correction characteristic ⁇ , but it may be the same interpolation ⁇ as in STEP 1 in FIG.
- step S2 of Fig. 5 color measurement is performed in step S2 of Fig. 5 in order to determine a target color for color reproduction.
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- Signal Processing (AREA)
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- Processing Of Color Television Signals (AREA)
- Facsimile Image Signal Circuits (AREA)
- Color Television Image Signal Generators (AREA)
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Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
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US12/309,521 US8326027B2 (en) | 2006-07-25 | 2007-07-25 | Conversion matrix determining method, image processing device, image processing program and imaging apparatus |
JP2008526789A JP4807412B2 (ja) | 2006-07-25 | 2007-07-25 | 変換マトリックス決定方法、画像処理装置、画像処理プログラム、撮像装置 |
EP07791274A EP2046067A4 (en) | 2006-07-25 | 2007-07-25 | CONVERSION MATRIX DETERMINATION METHOD, IMAGE PROCESSING DEVICE, PICTURE PROCESSING PROGRAM AND PICTURE DEVICE |
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JP2006202312 | 2006-07-25 | ||
JP2006-202312 | 2006-07-25 |
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WO2008013192A1 true WO2008013192A1 (fr) | 2008-01-31 |
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PCT/JP2007/064558 WO2008013192A1 (fr) | 2006-07-25 | 2007-07-25 | Procédé de détermination de matrice de conversion, appareil de traitement d'images, programme de traitement d'images et appareil d'imagerie |
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US (1) | US8326027B2 (ja) |
EP (1) | EP2046067A4 (ja) |
JP (1) | JP4807412B2 (ja) |
WO (1) | WO2008013192A1 (ja) |
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US9875724B2 (en) * | 2012-08-21 | 2018-01-23 | Beijing Lenovo Software Ltd. | Method and electronic device for adjusting display |
US20160323563A1 (en) * | 2013-12-10 | 2016-11-03 | Thomson Licensing | Method for compensating for color differences between different images of a same scene |
JP6516851B2 (ja) | 2015-02-13 | 2019-05-22 | テレフオンアクチーボラゲット エルエム エリクソン(パブル) | 画素の前処理および符号化 |
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US8326027B2 (en) | 2012-12-04 |
EP2046067A1 (en) | 2009-04-08 |
US20100054582A1 (en) | 2010-03-04 |
JP4807412B2 (ja) | 2011-11-02 |
EP2046067A4 (en) | 2010-04-21 |
JPWO2008013192A1 (ja) | 2009-12-17 |
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