JP2009253467A - Color processing device and method thereof - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To adequately use advanced color matching using a color-adapted model. <P>SOLUTION: A CPU 101 displays, on a monitor 107, a dialog providing input items for inputting an observation method of an image, a device used for the observation of the image, and a light condition of an environment observing the image, and sets the input items of the dialog according to the observation method inputted. Then, the CPU 101 converts a color of the image based on the observation method, the device, and the lighting condition inputted. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to color processing using a chromatic adaptation model.

  In recent years, desktop publishing (DTP) and computer graphics (CG) technologies have been developed, and color management technology for managing the colors of images displayed on monitors and printed images has become important.

  For example, in CG, there is a case where a CG creation / editing operation is performed while observing a color image displayed on a monitor, and then a manuscript to be submitted is confirmed using a color printer. Here, it is desired that there is a perceptual match between the color image displayed on the monitor and the image printed by the color printer. In DTP, a proof of checking the print result of the submission destination by the output of the color printer is performed before submission. Here, it is desired that there is a perceptual match between the print image at the submission destination and the image printed by the color printer. Color management technology is indispensable for realizing such a demand.

  As a color management technique, a color management system (CMS) using an ICC color profile defined by the International Color Consortium (ICC) is generally used. This CMS defines a device independent color space (PCS) for color matching. Then, on the PCS, color management is realized using a source profile that defines color conversion from the device color space to the PCS and a destination profile that defines color conversion from the PCS to the device color space. PCS is sometimes called a “hub color space”.

  Color conversion is performed as follows based on two types of color profiles, a source profile and a destination profile. First, a color signal value in a device color space suitable for a device that supplies an input image (hereinafter referred to as an input device) is converted into a PCS color signal value by a source profile. Then, the PCS color signal value is converted into a color signal in a device color space suitable for an image output destination device (hereinafter, output device) by the destination profile.

  According to such CMS, color management of monitors and printers used in CG, proof color management in DTP, etc. can be widely and flexibly supported. For example, in CG, a color profile that describes the characteristics of a monitor is specified as a source profile, and a color profile that describes the characteristics of a printer is specified as a destination profile. Also, in DTP, a color profile that describes the characteristics of the submission destination printing machine is specified in the source profile, and a color profile that specifies the characteristics of the printer is specified in the destination profile. By specifying the color profile in this way, it is possible to achieve perceptual matching between the desired image and the output image of the printer.

  Furthermore, the ICC color profile is a format that also supports the CIECAM02 and CIECAM97s chromatic adaptation models defined by the International Commission on Illumination (CIE), and a CMS that supports changes in the visual adaptation state depending on the observation environment. Can be built. In this case, subjectively more favorable color matching can be realized for various viewing environments by setting the parameters in consideration of the viewing conditions of a medium such as a monitor or a document in the ICC color profile.

  However, with the development of color management technology, there are a wide variety of items that users should be aware of when executing color management. For example, when the chromatic adaptation model is used, it is necessary to pay attention to whether the source profile and the destination profile describe not only device characteristics but also parameters according to the observation method and observation illumination.

  Generally, profiles and parameters are set by specifying a file via a profile setting screen (user interface) of a printer driver or application program. In order to obtain better color matching, it is necessary to set the same file or parameter to a plurality of input items depending on the observation method. However, the input items of the above user interface are fixed regardless of the user's observation method. As a result, the user may make an inappropriate setting. In the first place, the above user interface makes it difficult for a user who does not have sufficient knowledge of color management to appropriately use advanced color matching using a chromatic adaptation model.

JP 2000-148979

  An object of the present invention is to enable appropriate use of advanced color matching using a chromatic adaptation model.

  The present invention has the following configuration as one means for achieving the above object.

  The color processing apparatus according to the present invention includes an image observation method, a device used for image observation, input means for providing input items for inputting an illumination condition of an environment for observing the image, and input by the input means. Setting means for setting input items of the input means according to the observation method; color processing means for color-converting an image based on the observation method, the device, and the illumination condition input by the input means; It is characterized by having.

  The color processing method according to the present invention is an input step for providing an input item for inputting an image observation method, a device used for image observation, and an illumination condition of an environment for observing the image, and is input in the input step. A setting step for setting input items in the input step according to the observation method, and a color processing step for color-converting an image based on the observation method, the device, and the illumination condition input in the input step; It is characterized by having.

  According to the present invention, it is possible to appropriately use advanced color matching using a chromatic adaptation model.

  Hereinafter, color processing according to an embodiment of the present invention will be described in detail with reference to the drawings.

[Device configuration]
FIG. 1 is a block diagram illustrating a configuration example of a color processing apparatus.

  The CPU 101 executes an operating system (OS) and various programs stored in the ROM of the main memory 102 and the hard disk drive (HDD) 105 using the RAM of the main memory 102 as a work memory. Each component is controlled via a system bus 114 such as a PCI (peripheral component interconnect) bus. Further, various programs including an image processing application, a printer driver, and a color management module described later are executed.

  The CPU 101 accesses the HDD 105 via the system bus 114 and the serial ATA interface (SATA I / F) 103. In addition, a network 113 such as a local area network (LAN) is accessed via the network I / F 104.

  In the following description, it is assumed that image processing applications, image data, device profiles of various devices, and the like are read from the HDD 105, but can also be read from a server on the network 113.

  Further, the CPU 101 displays a user interface and processing result of processing to be described later on the monitor 107 via the graphic accelerator 106, and inputs user instructions via the keyboard 111 and mouse 112 connected to the keyboard / mouse controller 110. .

  Further, the CPU 101 outputs the image data to the printer 109 via a USB (Universal Serial Bus) controller 108, and prints an image instructed by the user, for example.

[Image processing application]
The user operates the keyboard 111 and the mouse 112 to instruct execution of the image processing application (image processing AP). In response to this instruction, the CPU 101 executes the image processing AP stored in the HDD 105. The image processing AP (CPU 101) instructs the graphic accelerator 106 to draw an application window, and the application window 201 is displayed on the monitor 107.

  FIG. 2 is a diagram showing an example of an application window 201 provided by the image processing AP.

  The user operates the pull-down menu 202 of the application window 201 to instruct reading of the image file. In response to this instruction, the image processing AP loads the image data stored in the HDD 105 into the RAM of the main memory 102. Then, the image processing AP instructs the graphic accelerator 106 to draw the image data, and the image represented by the image data is displayed in the image window 203 of the application window 201.

  When the user operates the pull-down menu 202 of the application window 201 to instruct profile setting, the image processing AP displays a profile setting dialog 301 on the monitor 107.

  FIG. 3 is a diagram showing an example of a profile setting dialog 301 provided by the image processing AP.

  Although details will be described later, the user operates the profile setting dialog 301 to perform various settings necessary for color conversion. When various settings necessary for color conversion are completed, the user presses a setting end button 310. When the setting end button 310 is pressed, the image processing AP sets a parameter corresponding to the setting of the profile setting dialog 301 in a color conversion process described later.

  When the user operates the pull-down menu 202 of the application window 201 to instruct color conversion display, the image processing AP performs color conversion processing described later on the image data held in the RAM of the main memory 102, and the user Output the image by the specified method.

  For example, when the monitor 107 is designated as the destination device, the image processing AP instructs the graphic accelerator 106 to draw the image data after the color conversion processing. Accordingly, an image represented by the image data after the color conversion processing is displayed in the image window 203 of the application window 201.

  When the printer 109 is designated as the destination device, the image processing AP instructs the printer driver to print the image data after the color conversion process. The printer driver converts the image data after the color conversion processing into color data (for example, CMYK data) of the printer 109, and supplies the color data to the printer 109. Accordingly, the printer 109 prints an image represented by the image data after the color conversion process.

[Profile setting dialog]
Next, the dialog 301 which is a user interface for profile setting will be described. As will be described later, the image processing AP changes the display form of the dialog in accordance with the user's dialog operation.

  3 and 4 are diagrams showing an example of the profile setting dialog 301. FIG. FIG. 3 shows a display form of a dialog in which the check box 302 is not checked, and FIG. 4 shows a display form of the dialog in a state where the check box 302 is checked.

  A check box 302 is a check box for selecting an observation method. That is, the user checks the check box 302 when, for example, the monitor display image and the print image are observed simultaneously in the same observation environment. For example, when the display image and the print image of the monitor are observed in different observation environments, in other words, when the observation places are separated from each other, the check box 302 is not checked. Note that observing at the same place at the same time is a situation where, for example, an image printed by the printer 109 can be brought near the monitor 107 and the display image of the monitor 107 and the printed image can be compared side by side. On the other hand, observing at a different location is a situation in which, for example, a print image of document data submitted to a print shop is proofed at the print shop.

  The user uses the combo box 303 shown in FIG. 3 to select the observation illumination on the source device side, and uses the combo box 304 to select the observation illumination on the destination device side. That is, the type of illumination for observing the source side image and the destination side image is selected. Options include A light source, D50 light source, D65 light source, F1-F12 light source, and the like.

  Further, the user uses the combo box 311 shown in FIG. 4 to select observation illumination common to the observation environment. That is, a common illumination type for observing the source side image and the destination side image is selected. Options include A light source, D50 light source, D65 light source, F1-F12 light source, and the like.

  The user uses the combo box 305 to select a source device, and uses the combo box 306 to select a destination device. In other words, the device profile describing the device characteristics of the source device is selected as the source profile, and the device profile describing the device characteristics of the destination device is selected as the destination profile.

  Note that device characteristics using spectral reflectance are described in a device profile for a device such as a printer that reproduces colors according to object colors (hereinafter, object color devices). In addition, for a device such as a monitor that reproduces a color according to a light source color (hereinafter, “light source color device”), device characteristics using spectral radiance are described in the device profile.

  The window 307 is an area for displaying the observation method on the source device side and the observation method on the destination device side so that the user can intuitively understand. That is, when the check box 302 is unchecked, as shown in FIG. 3, the source device side and the destination device side are separated and the illumination light source is also different. When the check box 302 is checked, the source device side and the destination device side are separated from each other as shown in FIG. 4, and the illumination light source is the same.

  The user uses the radio button 309 to select a desired color matching method. The configuration of the radio button 309 is changed according to the state of the check box 302. When the check box 302 is unchecked, one of three color matching methods of “perceptual”, “colorimetric”, and “saturation” can be selected as shown in FIG. When the check box 302 is checked, one of two color matching methods “perceptual” and “saturation” can be selected as shown in FIG.

[Color conversion processing]
FIG. 5 is a flowchart for explaining the color conversion process.

  The image processing AP reads the device profiles of the source device and the destination device specified in the combo boxes 305 and 306 from the HDD 105 as the source profile and the destination profile (S401). Then, the state of the check box 302 is determined (S402). If the check box 302 is checked (the observation environment is the same), the process branches to step S403, and if not checked (the observation environment is different), the process is performed. Branches to step S406.

  When the observation environment is the same, the image processing AP acquires the common illumination condition specified in the combo box 311 (S403). Then, a device profile (hereinafter referred to as XYZ profile) described by XYZ values is generated from the device profile described by spectral reflectance or spectral radiance (S404). The generated XYZ profile is stored in a predetermined area of the HDD 105.

In the case of an object color device, the XYZ value for the spectral reflectance R (λ), which is the profile value, is the relative spectral distribution S (λ) selected based on the illumination conditions, and the twice field XYZ color matching function x (λ) y From (λ) z (λ), it is calculated according to equation (1).
Xi = ∫S (λ) Ri (λ) x (λ) dλ
Yi = ∫S (λ) Ri (λ) y (λ) dλ (1)
Zi = ∫S (λ) Ri (λ) z (λ) dλ
Here, Ri (λ) is the spectral reflectance that is the i-th profile value,
XiYiZi is the XYZ value that is the i-th profile value,
The integration range is the visible wavelength range.

In the case of a light source color device, the XYZ value for the spectral radiance R (λ), which is a profile value, is calculated from the twice-field XYZ color matching function x (λ) y (λ) z (λ) by equation (2). calculate.
Xi = ∫Ri (λ) x (λ) dλ
Yi = ∫Ri (λ) y (λ) dλ (2)
Zi = ∫Ri (λ) z (λ) dλ
Where Ri (λ) is the spectral radiance that is the i-th profile value,
XiYiZi is the XYZ value that is the i-th profile value,
The integration range is the visible wavelength range.

  Next, the image processing AP generates a color appearance model profile (hereinafter, CAM profile) in consideration of partial adaptation from the XYZ profile (S405). The generated CAM profile is stored in a predetermined area of the HDD 105. In the CAM profile, an adaptive white point necessary for color matching described later is calculated and described as follows.

First, the XYZ value XwsYwsZws of the white point of the source device and the XYZ value XwdYwdZwd of the white point of the destination device are calculated from the XYZ profiles of the source device and the destination device, respectively. Next, the xy chromaticity Cs and Cd of each white point are calculated, and the xy chromaticity Ca of the partial adaptation point is calculated by equation (3).
Ca = (Cs + Cd) / 2… (3)

The XYZ value XawsYawsZaws of the adaptation white point described in the CAM profile of the source device is calculated by Equation (4) from the chromaticity coordinates (x, y) of the chromaticity Cs of the partial adaptation point and the luminance value Yws of the white point of the source device. To do.
Xaws = Yws × x / y
Yaws = Yws… (4)
Zaws = Yws × (1-x-y) / y

Also, from the chromaticity coordinates (x, y) of the chromaticity Cs of the partial adaptation point and the brightness value Ywd of the white point of the destination device, the XYZ value XawdYawdZawd of the adaptation white point described in the CAM profile of the destination device is expressed by the formula ( Calculate according to 5).
Xawd = Ywd × x / y
Yawd = Ywd… (5)
Zawd = Ywd × (1-x-y) / y

  On the other hand, when the observation environments are different, the image processing AP acquires the illumination conditions specified in the combo boxes 303 and 304 (S406). Then, an XYZ profile is generated from the device profile described by the spectral reflectance or the spectral radiance (S407). The generated XYZ profile is stored in a predetermined area of the HDD 105.

  In the case of an object color device, the XYZ values for the profile values are the relative spectral distribution S (λ) selected based on the illumination conditions on the source side or destination side, and the twice field XYZ color matching function x (λ) y (λ ) Calculate from the equation (1) from z (λ).

  In the case of the light source color device, the XYZ value for the profile value is calculated from the twice-view XYZ color matching function x (λ) y (λ) z (λ) according to Equation (2).

  Next, the image processing AP generates a CAM profile considering adaptation from the XYZ profile (S408). The generated CAM profile is stored in a predetermined area of the HDD 105. In the CAM profile, an adaptive white point necessary for color matching described later is calculated and described as follows.

  First, the XYZ value XwsYwsZws of the white point of the source device and the XYZ value XwdYwdZwd of the white point of the destination device are calculated from the XYZ profiles of the source device and the destination device, respectively. Then, the XYZ value XwsYwsZws is described as the adaptation white point of the CAM profile of the source device, and the XYZ value XwdYwdZwd is described as the adaptation white point of the CAM profile of the destination device.

  Next, the image processing AP notifies the XYZ profile, the CAM profile, and the pointer to the color conversion target image data stored in the HDD 105 to the color management module (CMM) that performs color conversion (S409). Then, the color matching method designated by the radio button 309 is acquired, the color matching method is notified to the CMM (S410), and the CMM is instructed to perform color matching processing on the image data indicated by the pointer (S411).

  When the color conversion by the CMM is completed, the image processing AP outputs the image data after the color conversion to the device designated as the destination device (S412). That is, when the destination device is the monitor 107, the image after color conversion is displayed on the screen of the monitor 107, and when the destination device is the printer 109, the image after color conversion is printed.

[Color matching processing]
FIG. 6 is a flowchart for explaining color matching processing (S411) performed by the CMM.

  The CMM acquires the specified XYZ profile and CAM profile from the HDD 105 (S501), and acquires the specified image data from the RAM of the HDD 105 or the main memory 102 (S502).

  Next, the CMM acquires RGB values of pixels from the image data in raster order (S503), and converts the acquired RGB values into XYZ values according to the XYZ profile of the source device (S504). Then, based on the color appearance model (for example, CIECAM02) defined by the CIE and the CAM profile of the source device, the XYZ values are converted into JCh values (S505). At this time, the adaptive white point described in the CAM profile of the source device is used as the adaptive white point given to the color appearance model.

  Next, the CMM refers to the CAM profiles of the source device and the destination device and applies a color gamut mapping according to the designated color matching method to the JCh value (S506). Note that the color gamut mapping includes a color gamut mapping for the purpose of perceptual matching, a color gamut mapping for the purpose of colorimetric matching, and a color gamut mapping for the purpose of saturation matching.

  Next, the CMM converts the JCh values after color gamut mapping into XYZ values based on the color appearance model and the CAM profile of the destination device (S507). At this time, the adaptive white point described in the CAM profile of the destination device is used as the adaptive white point to be given to the color appearance model.

  Next, the CMM converts the converted XYZ value into the color value (RGB value or CMYK value) of the destination device using the XYZ profile of the destination device (S508).

  Next, the CMM determines whether or not the processing of steps S503 to S508 has been performed on all the pixels of the image data (S509). If there is an unprocessed pixel, the processing returns to step S503. If all the pixels are processed in steps S503 to S508, the image data after color conversion is stored in the RAM or HDD 105 of the main memory 102 (S510).

[Color Gamut Map]
● Perceptual Matching FIG. 7 is a flowchart for explaining color gamut mapping for perceptual matching performed by the CMM. FIGS. 8 to 11 are diagrams schematically showing a color gamut mapping for perceptual coincidence in a brightness J-saturation C cross section. In FIG. 8, the solid line represents the color reproduction of the source device, and the dotted line represents the color gamut of the destination device.

  The CMM acquires the color (JCh) to be mapped (S601) and corrects the brightness value J of the acquired color so that the maximum value of the lightness range of the gamut of the source device is normalized (J = 100). (S602). By this correction, as shown in FIG. 9, the color reproduction of the source device indicated by the alternate long and short dash line changes to the color reproduction indicated by the solid line.

  Next, the CMM uses the sigmoid function to scale the corrected brightness value J ′ (S603). By this scaling, as shown in FIG. 10, the color reproduction after movement indicated by the alternate long and short dash line changes to the color reproduction after scaling indicated by the solid line.

  Next, the CMM corrects the lightness value J ″ after scaling according to the saturation value C (S604). As a result of this correction, the color reproduction indicated by the alternate long and short dash line is indicated by the solid line as shown in FIG. Change to color reproduction.

  Next, the CMM maps the color M (J "C'h) represented by the corrected lightness value J" and saturation value C 'into the color gamut of the destination device while preserving the hue value h. (S605). In other words, color gamut mapping is performed based on the color gamut of the corrected source device (mapping source) and the color gamut of the destination device (mapping destination). FIG. 12 is a diagram schematically showing the mapping in the section of lightness J-saturation C. In FIG. 12, the solid line represents the color gamut of the mapping source obtained by the processing of steps S602 to S604, and the dotted line represents the color gamut of the destination device (mapping destination).

When mapping the color M, the color D having the same hue as the color M and the maximum saturation in the color gamut of the mapping destination is calculated, and the color F on the brightness axis having the same brightness value as the color D is determined. Then, the intersection Bs of the straight line connecting the color F and the color M and the color gamut boundary of the mapping source, and the intersection Bd of the straight line connecting the color F and the color M and the color gamut boundary of the mapping destination are calculated. Then, a point E (BdE: EF = 1: 9) that internally divides the distance between the intersection Bd and the color F into 1: 9 is calculated. Here, when the distance MF is equal to or less than the distance EF (MF ≦ EF), mapping for the color M is not performed (M ′ = M). On the other hand, when the distance MF exceeds the distance EF (MF> EF), the point M ′ represented by the equation (6) is set to the color after mapping (the point M ′ exists between the intersection point Bd and the point E). .
M '= M / BsE × BdE (6)
Where BsE is the distance between intersection Bs and point E,
BdE is the distance between intersection Bd and point E.

Colorimetric match FIG. 13 is a flowchart for explaining color gamut mapping for the purpose of colorimetric matching performed by the CMM.

  The CMM acquires the color M (JCh value) to be mapped (S901), and determines whether the color M is within or outside the color gamut of the destination device (internal / external determination) (S902).

  When the CMM determines that the color is within the color gamut, the color gamut mapping of the color M is not performed (M ′ = M). If it is determined that the color is out of the gamut, the color M and the hue h are the same, and the color M ′ of the gamut boundary of the destination device with the smallest distance is calculated, and the color M ′ is the color gamut after the gamut mapping. Let it be a color (S903).

Saturation Matching FIG. 14 is a flowchart for explaining color gamut mapping for saturation matching performed by the CMM. FIGS. 15 to 17 are diagrams schematically showing a color gamut map intended for saturation matching in a lightness J-saturation C cross section.

  The CMM acquires the color (JCh value) to be mapped (S1001), and calculates the color M of the color gamut boundary of the source device having the same hue h as the color to be mapped and having the maximum saturation (S1002). Then, the color N of the color gamut boundary of the destination device having the same hue h as the mapped color and the maximum saturation is calculated (S1003). FIG. 15 shows the relationship between colors M and N, where the solid line represents the color reproduction of the source device and the dotted line represents the color gamut of the destination device.

Next, the CMM performs affine transformation on the JC plane so that the color M matches the color N (S1004). By this conversion, the relationship between the color reproduction of the source device and the color gamut of the destination device is as shown in FIG. The conditions that the affine transformation satisfies are as follows.
A ・ OW = OW
A ・ OM = ON (7)
Where A is the affine transformation,
O is black point (J = C = 0),
W is the white point of the source device

  Next, the CMM maps the color M (J'C'h) represented by the lightness value J 'and saturation value C' after affine transformation into the color gamut of the destination device while preserving the hue value h. (S1005). The details of this color gamut mapping are the same as in step S605 in the case of perceptual matching. By this mapping, the relationship between the color reproduction of the source device and the color gamut of the destination device is as shown in FIG.

  Note that the color gamut mapping processing shown in FIGS. 7, 13, and 14 is processing for one color, and the color gamut mapping processing is repeated for the pixels of the image data, or the number of colors included in the image data using the cache The area mapping process is repeated.

  Thus, since the input items of the profile setting dialog (user interface) are changed according to the setting of the observation method, it is possible to prevent a user profile setting error. In addition, a user who does not have sufficient knowledge of color management can appropriately use advanced color matching using a chromatic adaptation model.

[Other embodiments]
Note that the present invention can be applied to a system constituted by a plurality of devices (for example, a computer, an interface device, a reader, a printer, etc.), but an apparatus (for example, a copier, a facsimile machine, a control device) composed of a single device. Etc.).

  Another object of the present invention is to supply a storage medium storing a computer program for realizing the functions of the above-described embodiments to a system or apparatus, and the computer (CPU or MPU) of the system or apparatus executes the computer program. But it is achieved. In this case, the software read from the storage medium itself realizes the functions of the above embodiments, and the computer program and the computer-readable storage medium storing the computer program constitute the present invention. .

  Further, the above functions are not only realized by the execution of the computer program. That is, according to the instruction of the computer program, the operating system (OS) and / or the first, second, third,... This includes the case where the above function is realized.

  The computer program may be written in a memory of a device such as a function expansion card or unit connected to the computer. That is, it includes the case where the CPU of the first, second, third,... Device performs part or all of the actual processing according to the instructions of the computer program, thereby realizing the above functions.

  When the present invention is applied to the storage medium, the storage medium stores a computer program corresponding to or related to the flowchart described above.

Block diagram showing a configuration example of a color processing device, The figure which shows an example of the application window which image processing AP provides, The figure which shows an example of the dialog for the profile setting which image processing AP provides, The figure which shows an example of the dialog for the profile setting which image processing AP provides, A flowchart for explaining color conversion processing; A flowchart for explaining color matching processing performed by the CMM; A flow chart explaining the color gamut mapping for the purpose of perceptual matching performed by the CMM, A diagram schematically showing the color gamut mapping for perceptual matching in the JC section, A diagram schematically showing the color gamut mapping for perceptual matching in the JC section, A diagram schematically showing the color gamut mapping for perceptual matching in the JC section, A diagram schematically showing the color gamut mapping for perceptual matching in the JC section, A diagram schematically showing the mapping in JC cross section, A flow chart explaining the color gamut mapping for the purpose of colorimetric matching performed by the CMM, A flow chart explaining the gamut mapping for saturation matching performed by CMM, A diagram schematically showing the color gamut mapping for saturation matching in the JC section, A diagram schematically showing the color gamut mapping for saturation matching in the JC section, It is a figure which shows typically the color gamut map aiming at saturation matching in a JC cross section.

Claims (7)

An image observing method, a device used for observing the image, and an input means for providing an input item for inputting an illumination condition of an environment for observing the image;
Setting means for setting input items of the input means according to the observation method input by the input means;
A color processing apparatus comprising: color processing means for color-converting an image based on the observation method, the device, and the illumination condition input by the input means. The input means provides, as the observation method, an input item for selecting whether to perform observation of the source side image and observation of the destination side image in the same place or in different places,
When the setting unit is selected to perform at the same place as the observation method, the input item of the illumination condition is set in common for the source-side image and the destination-side image, and the observation method is the observation method. 2. The color processing apparatus according to claim 1, wherein when “perform in different places” is selected, the input item of the illumination condition is set separately for each of the source side image and the destination side image. The input means further provides an input item for inputting a color matching method,
The setting means changes the input items of the color matching method when the observation method is selected to be performed at the same location and when the observation method is selected to be performed at the different location. 3. The color processing apparatus according to claim 2.   The color processing means performs color conversion in consideration of partial adaptation when the observation method is performed at the same location, and considers color adaptation when the observation method is selected as performed at the different location. 4. The color processing apparatus according to claim 2, wherein the color conversion is performed. An input step for providing input items for inputting an image observation method, a device used for image observation, and a lighting condition of an environment for observing the image;
In accordance with the observation method input in the input step, a setting step for setting input items in the input step;
A color processing method comprising: a color processing step for color-converting an image based on the observation method, the device, and the illumination condition input in the input step.   5. A computer program for controlling a computer device to function as each unit of the color processing device according to claim 1.   7. A computer-readable storage medium in which the computer program according to claim 6 is recorded.

Images