JP2004222078A - Image processor, image processing method, and program thereof - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image processor which performs image processing while holding wide color space information. <P>SOLUTION: When acquiring image data expressed by an sYCC color space, a printer device 1 converts only part of image data to an RGB color space to set a correction parameter and subjects the image data expressed by the sYCC color space to image quality correction processing according to the set correction parameter. An sRGB color space or an extended RGB color space is selected as the RGB color space to be used for setting the correction parameter based on the intent of photographing which is specified by tag data. <P>COPYRIGHT: (C)2004,JPO&NCIPI

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to an image processing apparatus, an image processing method, and a program for performing image quality correction processing on a digital image.
[0002]
[Prior art]
Image data is expressed in different color spaces at each stage such as a data generation stage by a digital still camera or the like, a transfer or accumulation stage, an image processing stage performed on a computer terminal, and a printing stage by a printer or the like. For example, a dRGB color space is used in the data generation stage, an sYCC color space is used in the transfer or accumulation stage, an sRGB color space is used in the image processing stage, and a CMYK color space is used in the printing stage.
Since these color spaces have different color expression ranges, there is a problem that a part of image data is lost as the color space conversion is repeated.
For example, image data compressed and transferred by JPEG (Joint Photographic Experts Group) or the like is expressed in the sYCC color space. However, in the image processing apparatus or the image forming apparatus, the image data is transferred to the sRGB color space having a narrow color gamut. Had been converted. Therefore, the gradation expressed in the sYCC color space is not expressed. On the other hand, if the gradation in the sRGB color space is increased to maintain this gradation, the data size of the image data becomes enormous.
To cope with such a problem, an image processing apparatus that maintains the number of expression colors by using a wRGB color system having a wider color gamut than the sRGB color system has been disclosed (for example, Patent Document 1).
[0003]
A method of setting image quality adjustment parameters that reflect the intention of the creator of the image data using the accompanying information accompanying the image data is disclosed (for example, Patent Literature 2 and Patent Literature 3).
[0004]
[Patent Document 1]
Japanese Patent Application Laid-Open No. 2002-344763 [Patent Document 2]
Japanese Patent Application Laid-Open No. 2002-348881 [Patent Document 3]
JP-A-2002-344889
[Problems to be solved by the invention]
The present invention has been made in view of the above background, and has as its object to provide an image processing apparatus capable of performing image processing while holding wide color space information.
[0006]
[Means for Solving the Problems]
[Image processing device]
In order to achieve the above object, an image processing apparatus according to the present invention includes a data acquisition unit that acquires image data expressed in a predetermined color space, and a correction based on the image data acquired by the data acquisition unit. A correction amount calculating unit for calculating an amount, and performing image quality correction processing on the image data expressed in the color space and obtained by the data obtaining unit in accordance with the correction amount calculated by the correction amount calculating unit. Image quality correction means.
[0007]
Preferably, the correction amount calculating means analyzes a part of the image data expressed in the color space, and calculates a correction amount based on the analysis result.
[0008]
Preferably, the image processing apparatus further includes a color space conversion unit that converts a part of the image data expressed in the color space into image data expressed in an RGB color space, and the correction amount calculation unit includes the color space conversion unit. The image data converted by the means is analyzed, and a correction amount is calculated based on the analysis result.
[0009]
Preferably, the color space conversion means converts a part of the image data into an RGB space having a wider color expression range than the sRGB color space.
[0010]
Preferably, the image processing apparatus further includes additional information acquisition means for acquiring additional information associated with the image data, wherein the color space conversion means converts the image data based on the additional information obtained by the additional information acquisition means. Select the destination color space.
[0011]
Preferably, the color space conversion means selects an sRGB color space or an RGB color space having a wider color gamut than the sRGB color space as a conversion destination of the image data based on the acquired accompanying information.
[0012]
Preferably, the image quality correction unit performs at least one of a color conversion process and a sharpness correction process as the image quality correction process.
[0013]
Preferably, the apparatus further comprises decoding means for decoding the image data, wherein the data obtaining means obtains the image data compressed by the compression method, and wherein the image quality correcting means decodes the image data by the decoding means. Then, image quality correction processing is performed on image data expressed in a color space corresponding to the compression method.
[0014]
Preferably, the color space is a luminance color difference color space, and the image quality correction unit performs image quality correction processing on the image data expressed in the luminance color difference color space.
[0015]
Preferably, the color space is an sYCC color space corresponding to a JPEG compression method, the data acquisition means acquires image data compressed by a JPEG compression method, and the decoding means Is decoded into image data expressed in the sYCC color space, and the image quality correction unit decodes the image data decoded by the decoding unit and expresses the image data in the sYCC color space. Perform image quality correction processing.
[0016]
[Image processing method]
Further, the image processing method according to the present invention obtains image data expressed in a predetermined color space, calculates a correction amount based on the obtained image data, and converts the correction amount into image data expressed in the color space. On the other hand, image quality correction processing according to the calculated correction amount is performed.
[0017]
[program]
Further, the program according to the present invention, in an image processing apparatus including a computer, a step of acquiring image data expressed in a predetermined color space, a step of calculating a correction amount based on the acquired image data, Performing image quality correction processing on the image data expressed in the color space according to the calculated correction amount.
[0018]
BEST MODE FOR CARRYING OUT THE INVENTION
[First Embodiment]
Hereinafter, a first embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram exemplifying a hardware configuration of a printer device 1 to which an image processing method according to the present invention is applied, focusing on a control device 2 thereof.
As shown in FIG. 1, the printer device 1 includes a control device 2 and a copying device main body 10.
The control device 2 includes a control device main body 20 including a CPU 202 and a memory 204, a communication device 22, a recording device 24 such as an HDD / CD device, and a user interface including an LCD display device or a CRT display device and a keyboard / touch panel. Device (UI device) 26.
The printer device 1 acquires image data generated by a digital still camera or a scanner via the communication device 22 connected to a USB cable, a LAN cable, or the like, or the recording device 24 into which a removable medium can be inserted. Image quality correction processing is performed on the input image data while maintaining the data expressed in the color space at the time of input, and after the image quality correction processing, the image data is converted into a CMYK color space and printed on a sheet.
Since image data is often compressed, transferred, or stored in JPEG, a specific example in which the image data input to the printer device 1 is expressed in the sYCC color space corresponding to JPEG will be described below. explain. The sYCC color space is a color space in which luminance and chromaticity are expressed by mutually orthogonal parameters, and is a color space corresponding to JPEG.
[0019]
Further, the printer device 1 may compress the image data (sYCC color space expression) after the image quality correction processing by JPEG or the like, and output the image data to the outside via the communication device 22 or the recording device 24.
Hereinafter, a specific example will be described in which the printer device 1 acquires JPEG-compressed image data with a digital still camera or a scanner, performs image processing on the image data, and prints the image data on a sheet.
[0020]
FIG. 2 is a diagram showing a configuration of an image processing program 5 which is executed by the control device 2 (FIG. 1) and realizes the image processing method according to the present invention. The image processing program 5 according to the present embodiment will be described as a specific example in which the image processing program 5 is implemented as the image processing program 5 installed in the control device 2. However, some or all of the functions of the image processing program 5 are dedicated. It may be constituted by hardware.
As shown in FIG. 2, the image processing program 5 includes a tag acquisition unit 510, an image acquisition unit 520, a decoding unit 530, a smoothing processing unit 540, a partial extraction unit 550, an analysis unit 560, and a correction database (correction DB) 568. , An image quality correction processing unit 570 and an image output unit 580.
The analysis unit 560 includes a tag analysis unit 562, a feature value analysis unit 564, and a correction amount calculation unit 566, and the image quality correction processing unit 570 includes a 3D-LUT processing unit 572, a storage color processing unit 574, and a sharpness enhancement processing unit. 576.
[0021]
In the image processing program 5, the tag acquisition unit 510 reads accompanying information (hereinafter, tag data) attached to the image data and outputs it to the analysis unit 560. The tag data is data stored in, for example, Exif (exchangeable image file for digital still cameras) which is a standard image format of a digital still camera, and includes a shooting scene, a subject area, an exposure mode, a white balance, a digital zoom magnification, The information includes information for specifying the focal length, photographing contrast, photographing saturation, photographing sharpness, subject distance range, and the like.
[0022]
The image acquisition unit 520 acquires JPEG-compressed image data via the communication device 22 or the recording device 24, and outputs the image data to the decoding unit 530.
The decoding unit 530 decodes the image data input from the image acquisition unit 520 and outputs the image data to the smoothing processing unit 540.
Smoothing processing section 540 performs smoothing processing on the decoded image data to suppress noise, and outputs the result to partial extraction section 550 and image quality correction processing section 570.
[0023]
The partial extraction unit 550 generates a thumbnail image with a reduced data size based on the image data input from the smoothing processing unit 540, and outputs the thumbnail image to the analysis unit 560. In addition, the partial extraction unit 550 generates image data (hereinafter, a cut-out image) of a part serving as the subject of the image from the image data input from the memory color processing unit 574, and outputs the image data to the analysis unit 560. Since the main part of the image is often located at the center of the image, the part extracting unit 550 cuts out the center of the image data, for example, to obtain a cut image.
[0024]
The analysis unit 560 includes a tag analysis unit 562, a feature amount analysis unit 564, and a correction amount calculation unit 566, calculates a correction amount, and outputs the correction amount to the image quality correction processing unit 570.
The tag analysis unit 562, based on the tag data acquired by the tag acquisition unit 510, captures shooting information such as a shooting scene, a shooting date and time, a camera type, the presence or absence of a flash, a white balance, a shooting contrast, a shooting saturation, and a shooting sharpness. To identify.
In addition, if information indicating the color characteristics of an image is included, such as an ICC (International Color Consortium) profile, the tag analysis unit 562 uses a gamma characteristic or a standard analysis space (eg, sRGB, etc.).
[0025]
The feature amount analyzing unit 564 analyzes the thumbnail image or the cut-out image input from the partial extracting unit 550, and extracts the feature amount of the image.
For example, the feature amount analysis unit 564 calculates a feature amount characterizing the brightness distribution, the saturation distribution, and the color balance in the image based on the RGB histogram or the HSL histogram of the image data, and calculates the image size and the image data. An edge degree of image sharpness is calculated as a feature amount based on the edge amount and the edge strength.
In addition, the feature amount analysis unit 564 extracts the feature amount of the person-like by combining the skin color distribution inside the image and the extraction of the shape of the face-like, and further extracts the scene such as whether or not this scene is a person-based scene. A feature amount for classification, a feature amount indicating the size of the face of the main subject, a feature amount indicating the number of persons, or the like may be calculated.
In addition, the feature amount analysis unit 564 extracts feature amounts such as a shooting state of a scene (a backlight state of a main subject, a size of a person, and the like) from a distribution state of local brightness in an image, and further, backlight. A feature amount indicating the state may be calculated.
[0026]
The correction amount calculation unit 566 calculates a correction amount based on the imaging information specified by the tag analysis unit 562 and the feature amount calculated by the feature amount analysis unit 564. More specifically, the correction amount calculation unit 566 classifies the image using the imaging information and the feature amount, and refers to the correction DB 568 to search for a correction method and a correction parameter corresponding to the classification of the image.
The correction DB 568 associates the image classification with the correction method and the correction parameter, and the correction amount calculation unit 566 outputs the correction method and the correction parameter corresponding to the image classification to the image quality correction processing unit 570. . Note that the correction parameters are three-dimensional LUT (hereinafter, 3D-LUT) processing, memory color correction, and sharpness enhancement parameters corresponding to the sYCC color space.
[0027]
The image quality correction processing unit 570 includes a 3D-LUT processing unit 572, a memory color processing unit 574, and a sharpness enhancement processing unit 576, performs image quality correction processing on image data input from the smoothing processing unit 540, and outputs an image. Output to the unit 580. At this time, the image quality correction processing unit 570 performs light / dark contrast correction, hue / color balance correction, saturation correction, storage color correction, sharpness enhancement processing, and the like according to the correction method and correction parameter input from the correction amount calculation unit 566. Is performed as image quality correction processing.
[0028]
The image output unit 580 converts the image data input from the image quality correction processing unit 570 into a CMYK color space, controls a print engine (not shown) of the printer apparatus main body 10, and prints the image on a sheet. The image output unit 580 may JPEG-compress the input image data (sYCC color space) and output the image data to the outside by controlling the communication device 22 or the recording device 24.
[0029]
[Overall operation]
FIG. 3 is a flowchart showing the first operation (S10) of the printer device 1 (image processing program 5).
In step 100 (S100), when the UI device 26 receives an image printing instruction, the image data obtaining unit 520 obtains JPEG-compressed image data via the communication device 22 or the recording device 24, and decodes the image data. Output to the conversion unit 530. Further, the tag obtaining unit 510 obtains tag data attached to the image data and outputs the tag data to the analyzing unit 560.
[0030]
In step 102 (S102), the decoding unit 530 decodes the input image data and outputs the image data to the smoothing processing unit 540. The decoded image data is data expressed in the sYCC color space.
In step 104 (S104), the smoothing processing unit 540 performs a smoothing process on the input image data, and outputs the result to the partial extraction unit 550 and the image quality correction processing unit 570.
[0031]
In step 106 (S106), the partial extraction unit 550 generates a thumbnail image based on the image data input from the smoothing processing unit 540, and outputs the thumbnail image to the analysis unit 560. Note that the thumbnail image is also data expressed in the sYCC color space.
[0032]
In step 108 (S108), the tag analysis unit 562 of the analysis unit 560 analyzes the tag data to generate shooting information that specifies the situation at the time of shooting, and the feature amount analysis unit 564 analyzes the thumbnail image. , And calculate the feature amount. The correction amount calculation unit 566 extracts, from the correction DB 568, 3D-LUT processing and memory color correction correction parameters corresponding to the generated photographing information and the calculated feature amount, and sends the correction parameters to the image quality correction processing unit 570. Output.
[0033]
In step 110 (S110), the 3D-LUT processing unit 572 in the image quality correction processing unit 570 refers to the three-dimensionally expressed LUT to perform correction corresponding to the input correction parameter from the smoothing processing unit 540. Performed on input image data. After that, the memory color processing unit 574 performs the memory color correction according to the input correction parameter, and outputs the corrected image data to the partial extraction unit 550. The corrected image data is also stored in the image quality correction processing unit 570.
[0034]
In step 112 (S112), the partial extraction unit 550 generates a cut-out image from the image data input from the memory color processing unit 570, and outputs it to the analysis unit 560.
[0035]
In step 114 (S114), the tag analysis unit 562 of the analysis unit 560 analyzes the tag data to generate photographing information related to the sharpness intensity, and the feature amount analysis unit 564 analyzes the cut-out image to determine the sharpness. Calculate the feature value related to the intensity. The correction amount calculation unit 566 extracts, from the correction DB 568, a correction parameter for sharpness enhancement processing corresponding to the generated shooting information and the calculated feature amount, and outputs the parameter to the image quality correction processing unit 570.
[0036]
In step 116 (S116), the sharpness enhancement processing unit 576 in the image quality correction processing unit 570 performs sharpness enhancement processing on the image data on which the memory color correction has been performed in accordance with the input correction parameter, and outputs the image data to the image output unit. 580.
[0037]
In step 118 (S118), the image output unit 580 converts the input image data (sYCC) into data expressed in the CMYK color space, controls the printer main body 10, and uses the converted image data. Print the image.
[0038]
As described above, the printer apparatus 1 performs the image quality correction process and the analysis process for determining the correction parameter of the image quality correction while maintaining the color space expression of the input image data, thereby changing the color space. The process for conversion can be omitted. Further, in this example, the printer device 1 performs image quality correction processing or the like in the sYCC color space corresponding to JPEG compression. Therefore, when temporarily storing image data or transferring image data, the printer device 1 uses JPEG without color space conversion. Can be recompressed.
Further, since the sYCC color space has a wider color gamut than the sRGB color space, there is a problem that the gradation is reduced when the sYCC color space is converted to the sRGB color space. The image quality correction process can be performed without lowering the gradation expressed by the image data at the time.
In the above-described embodiment, for the sake of simplicity, a part of the correction processing generally performed in the printer device has been described as a specific example. However, the present invention is not limited to this. The printer device 1 can perform various image correction processes in the same color space expression as when data is input.
[0039]
[Second embodiment]
Next, a second embodiment of the present invention will be described.
In the first embodiment, the analysis processing in the analysis unit 560 is also performed using the image data expressed in the sYCC color space. However, in the second embodiment, only the analysis processing is expressed in the sYCC color space. The converted image data is converted into an RGB color space. Note that the analysis process does not necessarily require the entire image data, so the color space of a part of the image data is converted and used for the analysis process.
In addition, the RGB color space includes an sRGB color space and an extended RGB color space having a wider color expression range. The color space used for the analysis process is selected according to the intention when generating image data.
Hereinafter, a modification of the first embodiment from such a viewpoint will be described as a second embodiment.
[0040]
FIG. 4 is a diagram showing a configuration of the second image processing program 52. In addition, among the components in FIG. 4, those substantially the same as those described in FIG. 2 are denoted by the same reference numerals.
As shown in FIG. 4, the second image processing program 52 has a configuration in which a color space conversion unit 563 is added to the analysis unit 560. The color space conversion unit 563 converts the image data (sYCC color space) input from the partial extraction unit 550 into image data expressed in the sRGB color space or the extended RGB color space.
[0041]
In addition, the tag analysis unit 562 of the present example analyzes the tag data and specifies whether or not the color space of the image data at the time of input (in this example, the sYCC color space) is the one used intentionally at the time of shooting. , As color space information to the color space conversion unit 563. The color space conversion unit 563 selects a color space to be converted according to the color space information input from the tag analysis unit 562. More specifically, when the sYCC color space is intentionally used, the color space conversion unit 563 selects the extended RGB color space to convert the image data, and otherwise converts the sRGB color space. Select and convert image data.
When the sYCC color space is used unintentionally, in the image quality correction process, a strange color conversion may be performed. Therefore, by performing the analysis process using the image data converted into the sYCC color space, Improve the accuracy of analysis processing to prevent strange color conversion.
[0042]
FIG. 5 is a flowchart showing the second operation (S12) of the printer device 1 (image processing program 52). 5 that are substantially the same as those shown in FIG. 3 are denoted by the same reference numerals.
[0043]
In step S106, the partial extraction unit 550 generates thumbnail image data expressed in the sYCC color space and outputs the data to the analysis unit 560. In step 120 (S120), the tag analysis unit 562 converts the tag data into Analysis is performed to determine whether the sYCC color space has been intentionally used.
[0044]
In step 122 (S122), when the sYCC color space is intentionally used, the image processing program 52 shifts to the processing of S124, and otherwise shifts to the processing of S126.
In step 124 (S124), the color space conversion unit 563 converts the thumbnail image (sYCC color space) input from the partial extraction unit 550 into image data expressed in the extended RGB color space. That is, the color space conversion unit 563 selects the extended RGB color space when it is determined that the sYCC color space was intentionally used at the time of shooting.
[0045]
On the other hand, in step 126 (S126), the color space conversion unit 563 converts the thumbnail image (sYCC color space) input from the partial extraction unit 550 into image data expressed in the sRGB color space. That is, when it is not possible to determine that the sYCC color space has been intentionally used at the time of shooting, the color space conversion unit 563 selects the sRGB color space having a smaller color gamut than the extended RGB color space.
When setting a sharpness enhancement correction parameter, the color space conversion unit 563 does not perform color space conversion on the cut-out image because it is not converted into the RGB color space.
[0046]
As described above, the printer device 1 according to the second embodiment can use image data expressed in the RGB color space in the analysis processing for setting correction parameters and the like, and Consistency can be achieved. That is, conventionally, the correction process and the analysis process therefor have been performed based on image data expressed in an RGB color space, and data for associating a feature amount evaluated in the RGB color space with a correction parameter, etc. This is suitable when it is desired to take over to the printer device 1.
In some cases, image data expressed in the sYCC color space includes data of a color that does not exist in the real world, but exists by converting to a RGB color space having a narrow color expression range. Unacquired color data is deleted outside the color gamut, and the accuracy of the analysis process can be improved. The printer device 1 according to the present embodiment can improve the accuracy of the analysis process by converting to an RGB color space and filtering color data that cannot exist.
Note that the color space conversion target is a thumbnail image which is a part of the image data, so that the load of the color space conversion processing is not so large, and the data size does not increase so much even if the extended RGB color space is adopted.
[0047]
In the above embodiment, the embodiment in which the present invention is applied to the printer device 1 has been described as a specific example. However, the present invention is not limited to this, and is applicable to a digital camera, a scanner, a computer terminal, a mobile phone, or the like. Is also good.
For example, in a digital camera or a scanner, first, image data in an RGB color space (dRGB) having a wide color expression range is generated. However, the image data is converted into a color space such as an sYCC color space and compressed for convenience of data transmission or a recording region. Is done. Therefore, in the case of a digital camera or a scanner, the present invention can be applied to a case where image processing is performed on image data converted into the sYCC color space.
[0048]
【The invention's effect】
As described above, according to the image processing apparatus, the image processing method, and the program thereof according to the present invention, it is possible to perform image processing while holding wide color space information.
[Brief description of the drawings]
FIG. 1 is a diagram exemplifying a hardware configuration of a printer device 1 to which an image processing method according to the present invention is applied, focusing on a control device 2 thereof.
FIG. 2 is a diagram showing a configuration of a first image processing program 5 which is executed by a control device 2 (FIG. 1) and realizes an image processing method according to the present invention.
FIG. 3 is a flowchart illustrating a first operation (S10) of the printer device 1 (image processing program 5).
FIG. 4 is a diagram showing a configuration of a second image processing program 52.
FIG. 5 is a flowchart showing a second operation (S12) of the printer device 1 (image processing program 52).
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 ... Printer apparatus 10 ... Printer apparatus main body 2 ... Control apparatus 20 ... Control apparatus main body 202 ... CPU
204 memory 22 communication device 24 recording device 240 recording medium 26 UI device 5 image processing program 510 tag acquisition unit 520 image acquisition unit 530... Decoding unit 540... Smoothing processing unit 550... Partial extraction unit 560... Analysis unit 562... Unit 566 correction amount calculation unit 568 correction database 570 image quality correction processing unit 572 3D-LUT processing unit 574 storage color processing unit 576 sharpness enhancement processing unit 580 ..Image output units

Claims (12)

Data acquisition means for acquiring image data expressed in a predetermined color space,
A correction amount calculating unit that calculates a correction amount based on the image data acquired by the data acquiring unit;
An image processing apparatus comprising: an image quality correction unit that performs an image quality correction process on the image data expressed in the color space and acquired by the data acquisition unit in accordance with the correction amount calculated by the correction amount calculation unit. The image processing apparatus according to claim 1, wherein the correction amount calculating unit analyzes a part of the image data expressed in the color space, and calculates a correction amount based on a result of the analysis. Color space conversion means for converting a part of the image data expressed in the color space into image data expressed in an RGB color space;
The image processing apparatus according to claim 1, wherein the correction amount calculation unit analyzes the image data converted by the color space conversion unit, and calculates a correction amount based on the analysis result. 4. The image processing apparatus according to claim 3, wherein the color space conversion unit converts a part of the image data into an RGB space having a wider color gamut than an sRGB color space. Further having an accompanying information acquisition means for acquiring accompanying information attached to the image data,
The image processing apparatus according to claim 3, wherein the color space conversion unit selects a color space to which the image data is to be converted based on the accompanying information acquired by the accompanying information acquiring unit. 6. The image data conversion apparatus according to claim 5, wherein the color space conversion means selects an sRGB color space or an RGB color space having a wider color gamut than the sRGB color space based on the acquired accompanying information. Image processing device. The image processing apparatus according to claim 1, wherein the image quality correction unit performs at least one of a color conversion process and a sharpness correction process as the image quality correction process. A decoding unit for decoding the image data,
The data acquisition unit acquires image data compressed by the compression method,
The image quality correction unit according to claim 1, wherein the image quality correction unit performs an image quality correction process on the image data decoded by the decoding unit and expressed in a color space corresponding to the compression scheme. Image processing device. The color space is a luminance color difference color space,
The image processing apparatus according to claim 1, wherein the image quality correction unit performs an image quality correction process on the image data expressed in the luminance color difference color space. The color space is an sYCC color space corresponding to the JPEG compression method,
The data acquisition means acquires image data compressed by the JPEG compression method,
The decoding means decodes the image data obtained by the data obtaining means to obtain image data expressed in an sYCC color space,
The image processing apparatus according to claim 8, wherein the image quality correction unit performs an image quality correction process on the image data decoded by the decoding unit and expressed in an sYCC color space. Acquire image data expressed in a predetermined color space,
A correction amount is calculated based on the acquired image data,
An image processing method for performing image quality correction processing on the image data expressed in the color space according to the calculated correction amount. In an image processing apparatus including a computer,
Obtaining image data represented in a predetermined color space;
Calculating a correction amount based on the acquired image data;
Performing image quality correction processing on the image data expressed in the color space according to the calculated correction amount.

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