JP5441539B2 - Color processing apparatus, color processing method, and program - Google Patents

Description

  The present invention relates to a technique for performing color conversion of a display image.

  In recent years, with the spread of monitors and projectors, opportunities for viewing moving images and still images on these display devices are increasing. In general, when an image is displayed on a display device, color conversion of the image is performed in order to achieve white balance. In this case, a method is known in which an adaptation white point is calculated as adaptation to the device white point and the illumination white point, and color conversion of an image is performed using the adaptation white point (see, for example, Patent Document 1).

  Further, a method for calculating the adaptation white point in consideration of the reference white point has been proposed on the assumption that adaptation also affects a white point that humans originally feel white (hereinafter referred to as a reference white point). These adaptive white point calculation methods are based on the premise that the adaptive white point does not change even if the scene changes.

Japanese Patent No. 3635673

  However, the adaptation state of the observer actually changes due to a change in the scene. Therefore, depending on the scene, the color cast of the image has occurred.

  Therefore, an object of the present invention is to reduce the color cast of an image.

The color processing apparatus of the present invention includes a first acquisition unit that acquires color information of a reference white point, a second acquisition unit that acquires information related to a frame displayed around the image, and a periphery of the image. A determination unit that determines whether or not a frame is displayed; and, when the determination unit determines that the frame is displayed , the adaptive white based on the color information of the reference white point and the information related to the frame When the color information of the point is calculated and it is determined that the frame is not displayed by the determination unit, the color of the adaptive white point is different from the case where the frame is displayed by the determination unit. It has a calculation means for calculating information, and a color conversion means for performing color conversion of the image based on the color information of the adaptive white point.

  In the present invention, the image is color-converted based on information relating to a frame to be displayed in order to fix the adaptation state of the observer. Therefore, according to the present invention, it is possible to reduce the color cast of the image.

It is a block diagram which shows the structure which implement | achieves the color processing apparatus which concerns on 1st Embodiment. 4 is a flowchart illustrating an operation flow of the color processing apparatus according to the first embodiment. It is a flowchart which shows the flow of a process of the adaptation white point calculation part. It is a figure which shows the adaptation ratio table | surface with respect to the color temperature of a frame color, and the color temperature of a reference | standard white point. It is a flowchart which shows the flow of a process of a color conversion part. It is a block diagram which shows the structure which implement | achieves the color processing apparatus which concerns on 2nd Embodiment. 10 is a flowchart illustrating an operation flow of the color processing apparatus according to the second embodiment. It is a flowchart which shows the flow of a process of a frame information acquisition part. It is a flowchart which shows the flow of a process of the adaptation white point calculation part. It is a figure which shows the adaptation ratio table | surface with respect to the area of a frame. It is a flowchart which shows the flow of a process of a color conversion part. It is a block diagram which shows the structure which implement | achieves the color processing apparatus which concerns on 3rd Embodiment. 14 is a flowchart illustrating an operation flow in the color processing apparatus according to the third embodiment.

  DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, preferred embodiments to which the invention is applied will be described in detail with reference to the accompanying drawings.

<First Embodiment>
First, the first embodiment will be described.
FIG. 1 is a block diagram showing a configuration for realizing a color processing apparatus according to the first embodiment. In FIG. 1, reference numeral 1 denotes a color processing apparatus. Reference numeral 101 denotes a reference white point acquisition unit that acquires a reference white point. Reference numeral 102 denotes a determination unit that determines the presence or absence of a frame displayed around the screen in order to fix the adaptation state of the observer. Reference numeral 103 denotes a frame information acquisition unit that acquires frame information around the screen. A device white point acquisition unit 104 acquires the white point of the device. Reference numeral 105 denotes an illumination white point acquisition unit that acquires a white point of illumination. Reference numeral 106 denotes an adaptive white point calculation unit that calculates an adaptive white point. A color conversion unit 107 converts the color of the image. An image data holding unit 108 holds image data read by the color conversion unit 107. Reference numeral 109 denotes a data holding unit that holds data. Reference numeral 110 denotes a buffer memory for temporarily holding each piece of data being calculated.

  Next, the operation of the color processing apparatus 1 according to the first embodiment will be described with reference to FIG. FIG. 2 is a flowchart showing a flow of operations of the color processing apparatus 1 according to the first embodiment.

  In step S <b> 1, the reference white point acquisition unit 101 acquires an XYZ value (color information) of a predetermined reference white point held in the data holding unit 109. Step S1 is a processing example of the first acquisition unit.

  In step S2, the determination unit 102 determines the presence or absence of a frame. For discrimination, the user is made to select the presence or absence of a frame from a UI (not shown). If there is a frame, the determination unit 102 sets a flag indicating that there is a frame (hereinafter referred to as a frame information flag) to be true and writes it in the buffer memory 110, and proceeds to step S3. On the other hand, if there is no frame, the determination unit 102 sets the flag to false and writes it in the buffer memory 110, and proceeds to step S4. Step S2 is a processing example of the determination means.

  In step S <b> 3, the frame information acquisition unit 103 acquires the XYZ values of the frame color and writes them in the buffer memory 110. The XYZ value of the frame color is obtained by inputting the XYZ value of the frame color measured by the user from a UI (not shown). Step S3 is a processing example of the second acquisition unit.

  In step S <b> 4, the device white point acquisition unit 104 acquires the XYZ value of the device white point and writes it in the buffer memory 110. The XYZ value of the device white point is obtained by inputting the XYZ value of the device white point measured by the user from a UI (not shown).

  In step S <b> 5, the illumination white point acquisition unit 105 acquires the XYZ value of the illumination white point and writes it in the buffer memory 110. The XYZ value of the illumination white point is obtained by inputting the XYZ value of the illumination white point measured by the user from a UI (not shown).

  In step S6, the adaptive white point calculation unit 106 calculates an adaptive white point. Specific processing contents of the adaptive white point calculation unit 106 will be described later. Step S6 is a processing example of the calculation means.

  In step S7, the color conversion unit 107 converts the color of the image based on the adaptive white point calculated in step S6. Specific processing contents of the color conversion unit 107 will be described later. Step S7 is a processing example of the color conversion means.

  Next, the operation of the adaptive white point calculation unit 106 in step S6 of FIG. 2 will be described in detail with reference to FIG. FIG. 3 is a flowchart showing a processing flow of the adaptive white point calculation unit 106.

  In step S <b> 101, the adaptive white point calculation unit 106 obtains a color temperature from the XYZ values of the reference white point stored in the buffer memory 110. In order to obtain the color temperature, the XYZ values are converted into u and v coordinate values using the following conversion formula (1). Step S101 is a processing example of the first color temperature calculation unit.

  Next, when the u and v coordinates are on the black body radiation locus in the u and v coordinate systems, the adaptive white calculation unit 106 calculates the color temperature corresponding to the coordinates as the color temperature of the reference white point. To do. On the other hand, when the u and v coordinates are not on the black body radiation locus, the adaptive white calculation unit 106 draws a perpendicular line from the u and v coordinates to the black body radiation locus, and calculates the color temperature corresponding to the intersection coordinates. Calculated as the color temperature of the reference white. Hereinafter, when the color temperature is obtained from the XYZ values, it is calculated by the above method.

  In step S102, the adaptive white point calculation unit 106 determines whether there is a frame display based on the frame information flag stored in the buffer memory 110 in step S2, and switches processing. If the frame information flag is true (when the frame is displayed), the process proceeds to step S103. If the frame information flag is false (when the frame is not displayed), the process proceeds to step S105.

  In step S <b> 103, the adaptive white point calculation unit 106 obtains a color temperature from the XYZ values of the frame color stored in the buffer memory 110. Step S103 is a processing example of the second color temperature calculation means.

In step S104, the adaptive white point calculation unit 106 stores the color temperature T _b of the reference white point obtained in step S101, the color temperature T _f of the frame color obtained in step S103, and the data holding unit 109 in advance. from adaptation ratios are, for calculating the color temperature T _a of the adaptive white point using equation (2). Step S104 is a processing example of the third color temperature calculation means.

  The adaptation ratio can be obtained by referring to a table of the coefficient k with respect to the color temperature of the reference white point in each combination of the color temperature of the reference white point and the color temperature of the frame color as shown in FIG. .

  Further, the adaptive white point calculation unit 106 calculates the XYZ values of the adaptive white point by calculating u and v coordinate values corresponding to Ta obtained by the equation (2) and converting them to XYZ values. Note that the luminance Y uses the luminance of the frame color. The calculated XYZ values of the adaptation white point are stored in the buffer memory 110.

In step S < _b > 105, the adaptive white point calculation unit 106 obtains the color temperature T _d from the XYZ value of the device white point stored in the buffer memory 110.

In step S <b> 106, the adaptive white point calculation unit 106 obtains the color temperature T _l from the XYZ value of the illumination white point stored in the buffer memory 110.

In step S107, the adaptation white point calculation unit 106 determines the color temperature T _b of the reference white point obtained in step S101, the color temperature T _d of the device white point obtained in step S105, and the illumination white point obtained in step S106. The color temperature of the adaptation white point is calculated using the equation (3) from the color temperature _Tl of the color and the predetermined adaptation ratio, and the corresponding XYZ values are obtained.

The adaptation ratio is determined by referring to k and l at the corresponding color temperature from the correspondence table describing the adaptation coefficients k and l at the respective color temperatures of T _b , T _d and T _l .

Further adaptation white point calculation unit 106, u corresponding to T _a determined by the formula (3), determine the v coordinate value, by converting the XYZ value, and calculates the XYZ value of the adaptive white point. Note that the luminance Y uses the luminance of the frame color. The calculated XYZ values of the adaptation white point are stored in the buffer memory 110.

  As described above, the adaptive white point calculation unit 106 can calculate an adaptive white point suitable for each situation by switching the calculation method of the adaptive white point according to the presence or absence of the frame display.

  Next, the operation of the color conversion unit 107 in step S7 in FIG. 2 will be described in detail with reference to FIG. FIG. 5 is a flowchart showing the processing flow of the color conversion unit 107.

  In step S <b> 201, the color conversion unit 107 acquires the RGB value of the pixel from the image data holding unit 108. Hereinafter, the color space in which image data is described is an sRGB color space.

  In step S202, the color conversion unit 107 converts the RGB values acquired in step S201 into XYZ values.

  In step S203, the color conversion unit 107 converts the converted XYZ value into a JCh value of CIECAM02 using the XYZ value of the adaptive white point calculated in step S6.

  In step S204, the color conversion unit 107 maps the converted JCh value to the color reproduction range data of the display device. Note that the color reproduction range data of the display device is stored in the data holding unit 109 in advance.

  In step S205, the color conversion unit 107 converts the mapped JCh value into an XYZ value.

  In step S206, the color conversion unit 107 converts the converted XYZ values into device RGB values of the display device. For the conversion, an interpolation operation such as cubic interpolation or tetrahedral interpolation may be used.

  In step S207, the color conversion unit 107 determines whether the processing has been completed for all the pixels of the image. If the process has not been completed for all pixels, the process returns to step S201, and if the process has been completed for all pixels, the process ends.

  As described above, the color conversion unit 107 performs mapping in the color space of appearance using the XYZ values of the adaptive white point calculated in step S6, and converts the color of the image.

  As described above, according to the technology described above, it is possible to perform image display suitable for the observer's adaptation state by switching the method of calculating the adaptation white point according to the presence or absence of frame display and converting the color of the image.

<Second Embodiment>
Next, a second embodiment will be described.
FIG. 6 is a block diagram showing a configuration for realizing a color processing apparatus according to the second embodiment. In addition, the same code | symbol as the code | symbol of 1st Embodiment is attached | subjected to the block which performs the same process as 1st Embodiment, and description is abbreviate | omitted. In FIG. 6, reference numeral 2 denotes a color processing apparatus. Reference numeral 203 denotes a frame information acquisition unit that acquires information about the frame. Reference numeral 206 denotes an adaptive white point calculation unit that calculates an adaptive white point. A color conversion unit 207 converts the color of the image.

  Next, the operation of the color processing apparatus 2 according to the present embodiment will be described with reference to FIG. FIG. 7 is a flowchart showing an operation flow of the color processing apparatus 2 according to the second embodiment. In addition, the same code | symbol as the code | symbol of 1st Embodiment is attached | subjected to the step which performs the same process as 1st Embodiment, and description is abbreviate | omitted.

  In step S23, the frame information acquisition unit 203 acquires the XYZ value of the frame and the area ratio of the frame portion. Specific processing contents of the frame information acquisition unit 203 will be described later.

  In step S26, the adaptation white point calculation unit 204 calculates the XYZ value of the adaptation white point according to whether or not a frame is displayed. Specific processing contents of the adaptive white point calculation unit 204 will be described later.

  In step S27, the color conversion unit 207 converts the color of the image using the adaptive white point calculated in step S26. Specific processing contents of the color conversion unit 207 will be described later.

  Next, operation | movement of the frame information acquisition part 203 of FIG.7 S23 is demonstrated in detail using FIG. FIG. 8 is a flowchart showing a processing flow of the frame information acquisition unit 203. In addition, the same code | symbol as the code | symbol of 1st Embodiment is attached | subjected to the step which performs the same process as 1st Embodiment, and description is abbreviate | omitted.

  In step S <b> 231, the frame information acquisition unit 203 acquires the XYZ value of the frame and stores it in the buffer memory 110.

  In step S232, the frame information acquisition unit 203 acquires the area ratio of the frame portion to the display area and stores it in the buffer memory 110.

  As described above, the frame information acquisition unit 203 acquires the XYZ value of the frame and the area ratio of the frame and stores them in the buffer memory 110.

  Next, the operation of the adaptive white point calculation unit 206 in step S26 will be described in detail with reference to FIG. FIG. 9 is a flowchart showing a processing flow of the adaptive white point calculation unit 206. In addition, the same code | symbol as the code | symbol of 1st Embodiment is attached | subjected to the step which performs the same process as 1st Embodiment, and description is abbreviate | omitted.

  In step S <b> 308, the adaptive white point calculation unit 206 acquires the frame area ratio acquired in step S <b> 23 from the buffer memory 110.

  In step S304, the adaptive white point calculation unit 206 determines the color temperature of the reference white point obtained in step S101, the color temperature of the frame color obtained in step S103, and the frame for the entire image display area obtained in step S308. An adaptation white point is calculated from the area ratio of the display area based on a predetermined adaptation ratio. The adaptation ratio is obtained by referring to the corresponding adaptation ratio from the correspondence table describing the adaptation ratio with respect to the area ratio of the frame as shown in FIG. Moreover, when the acquired adaptation ratio is set to p, it can calculate from Formula (4). Step S304 is a processing example of the third color temperature calculation unit.

  As described above, the adaptive white point calculation unit 206 switches the calculation method of the adaptive white point depending on whether or not the frame is displayed, and changes the adaptation ratio according to the area ratio of the frame when there is a frame display. To do.

  Next, the operation of the color conversion unit 207 in step S27 of FIG. 7 will be described in detail with reference to FIG. FIG. 11 is a flowchart showing a processing flow of the color conversion unit 207. In addition, the same code | symbol as the code | symbol of 1st Embodiment is attached | subjected to the step which performs the same process as 1st Embodiment, and description is abbreviate | omitted.

  In step S401, the color conversion unit 207 calculates a background luminance ratio Yb, which is a color conversion parameter in CIECAM02, using the luminance component Y of the XYZ value of the frame acquired in step S23.

  In step S403, the color conversion unit 207 converts the XYZ values of the pixels into JCh values using the calculated background luminance ratio Yb.

  In step S405, the color conversion unit 207 converts the mapped JCh value into an XYZ value.

  As described above, the color conversion unit 207 calculates the JCh value of CIECAM02 using the background luminance ratio calculated based on the luminance of the frame, and performs color conversion of the image.

  According to the technique described above, the adaptive white point is calculated using the area ratio of the frame, and the color space value of the appearance is calculated from the background luminance ratio calculated based on the luminance of the frame, and the color conversion of the image is performed. By doing so, it is possible to display an image according to the area ratio of the frame and the luminance of the frame.

<Third Embodiment>
Next, a third embodiment will be described.
FIG. 12 is a block diagram illustrating a configuration for realizing the color processing apparatus according to the present embodiment. In addition, the same code | symbol as the code | symbol of 1st Embodiment is attached | subjected to the block which performs the same process as 1st Embodiment, and description is abbreviate | omitted. In FIG. 12, 3 is a color processing device. Reference numeral 301 denotes a frame information setting unit that sets frame information. Reference numeral 302 denotes a color conversion parameter setting unit that sets color conversion parameters. A color conversion unit 303 performs color conversion of an image. A determination unit 304 switches the frame display. Reference numeral 305 denotes a frame generation unit that generates a frame. Reference numeral 306 denotes an output unit that outputs an image.

  Next, the operation of the color processing apparatus 3 will be described with reference to FIG. FIG. 13 is a flowchart showing the flow of operations in the color processing apparatus 3 of the present embodiment.

  In step S31, the frame information acquisition unit 301 sets, as the frame information, a frame display flag indicating whether or not to display a frame and an XYZ value of the frame. Note that the frame display flag is set to true when the frame is displayed, and the frame display flag is set to false when the frame is not displayed. Step S31 is a processing example of the first setting means.

  In step S <b> 32, the color conversion parameter setting unit 302 sets color conversion parameters according to the presence / absence of a frame and the frame color. Step S32 is a processing example of the second setting means.

  In step S33, the color conversion unit 303 converts the color of the image using the color conversion parameter set in step S32. The color conversion of the image is performed as shown in step S7 or step S27. Step S33 is a processing example of the color conversion means.

  In step S34, the determination unit 304 determines the frame information set in step S31 and switches the frame display. If the frame display flag is true, the process proceeds to step S35, and if the frame display flag is false, the process proceeds to step S36.

  In step S35, the frame generation unit 305 reduces the image, adds a frame to the image according to the frame information, and updates the image data. In step S36, the output unit 306 outputs an image.

  According to the technology described above, when displaying an image, it is possible to display a frame and perform a more appropriate image display by converting the color of the image using a color conversion parameter corresponding to the frame color. it can.

  In the above-described embodiment, the reference white point is acquired from the data holding unit, but this may be input by the user from the UI, or may be selected by the user from several reference white point candidates. .

  In the above-described embodiment, the XYZ value of the frame color is acquired by allowing the user to input from the UI, but it may be acquired directly from the measuring instrument.

  In the above-described embodiment, when the XYZ value is calculated from the color temperature of the adaptive white point, the luminance Y is the Y value of the frame color. However, the present invention is not limited to this. For example, an illumination illuminance acquisition unit may be provided, and the linear sum of the acquired illumination illuminance and the brightness of the frame color may be used as the brightness of the adaptation white point.

  In the above-described embodiment, the CIECAM02 color space is used as the mapping color space for the color conversion of the image. However, this may be another color space as long as it is a visible color space such as CIECAM97s. Good.

  In the above-described embodiment, the processing has been described on the assumption that the input image is expressed in sRGB (IEC 61966-2-1). However, the input to the color processing apparatus according to the present invention is limited to sRGB. Any color space is acceptable.

  In the above-described embodiment, a predetermined adaptation ratio is used when calculating the adaptation white point. This is because a UI is provided so that the user can input the adaptation ratio, and the adaptation ratio is set from the UI. May be.

  In the third embodiment, the reference white point is not used. However, the present invention is not limited to this. The reference white point is acquired, the partial white point is calculated using the reference white point, and the partial white point is obtained. The color of the image may be converted by using.

  In the third embodiment, the color conversion parameter is determined based on whether or not to display a frame and the color of the frame. However, this may be determined according to the area ratio of the frame.

  Each means and each step constituting the embodiment of the present invention described above can be realized by executing a program stored in a RAM, a ROM, or the like of a computer. This program and a computer-readable recording medium recording the program are included in the present invention.

Claims (13)

First acquisition means for acquiring color information of a reference white point;
Second acquisition means for acquiring information relating to a frame displayed around the image;
Determination means for determining whether or not a frame is displayed around the image;
When it is determined that the frame is displayed by the determination unit, the color information of the adaptive white point is calculated based on the color information of the reference white point and the information related to the frame, and the frame is displayed by the determination unit. A calculating means for calculating color information of the adaptation white point by a method different from that when the determination means determines that a frame is displayed ,
A color processing apparatus comprising: color conversion means for performing color conversion of the image based on color information of the adaptive white point. The calculating means includes
First color temperature calculation means for calculating the color temperature of the reference white point based on the color information of the reference white point;
Second color temperature calculation means for calculating a color temperature of the frame color based on the information related to the frame;
The color temperature of the adaptation white point is calculated based on the color temperature of the reference white point, the color temperature of the frame color, and the adaptation temperature corresponding to the color temperature of the reference white point and the color temperature of the frame color. 3 color temperature calculation means,
On the basis of the color temperature of the adaptive white point, color processing apparatus according to claim 1, characterized in that to calculate the color information of the adaptive white point. The calculating means includes
First color temperature calculation means for calculating the color temperature of the reference white point based on the color information of the reference white point;
Second color temperature calculation means for calculating a color temperature of the frame color based on the information related to the frame;
Acquisition means for acquiring the area ratio of the display area of the frame to the entire image display area;
A third color temperature calculating means for calculating a color temperature of the adaptation white point based on a color temperature of the reference white point, a color temperature of the frame color, and an adaptation ratio corresponding to the area ratio;
On the basis of the color temperature of the adaptive white point, color processing apparatus according to claim 1, characterized in that to calculate the color information of the adaptive white point. The color processing apparatus according to claim 2 , wherein the information related to the frame is color information of the frame. The color processing apparatus according to claim 3 , wherein the information related to the frame is color information of the frame and the area ratio. First acquisition means for acquiring color information of a reference white point;
Second acquisition means for acquiring information relating to a frame displayed around the image;
Calculation means for calculating color information of the adaptive white point based on the color information of the reference white point and the information relating to the frame;
Color conversion means for performing color conversion of the image based on the color information of the adaptive white point;
The calculating means includes
First color temperature calculation means for calculating a color temperature of the reference white point based on color information of the reference white point;
Second color temperature calculation means for calculating a color temperature of the frame color based on the information related to the frame;
The color temperature of the adaptation white point is calculated based on the color temperature of the reference white point, the color temperature of the frame color, and the adaptation ratio corresponding to the color temperature of the reference white point and the color temperature of the frame color. Third color temperature calculation means,
A color processing apparatus, wherein color information of the adaptive white point is calculated based on a color temperature of the adaptive white point. First acquisition means for acquiring color information of a reference white point;
Second acquisition means for acquiring information relating to a frame displayed around the image;
Calculation means for calculating color information of the adaptive white point based on the color information of the reference white point and the information relating to the frame;
Color conversion means for performing color conversion of the image based on the color information of the adaptive white point;
The calculating means includes
First color temperature calculation means for calculating a color temperature of the reference white point based on color information of the reference white point;
Second color temperature calculation means for calculating a color temperature of the frame color based on the information related to the frame;
Acquisition means for acquiring the area ratio of the display area of the frame to the entire image display area;
Third color temperature calculation means for calculating the color temperature of the adaptation white point based on the color temperature of the reference white point, the color temperature of the frame color, and the adaptation ratio corresponding to the area ratio. ,
A color processing apparatus that calculates color information of the adaptive white point based on a color temperature of the adaptive white point. Acquires the color information of the reference white point, the resulting step preparative obtaining information relating to a frame displayed around the image,
A determination step of determining whether or not a frame is displayed around the image;
When it is determined that the frame is displayed by the determination step, the color information of the adaptive white point is calculated based on the color information of the reference white point and the information related to the frame, and the frame is displayed by the determination step. A step of calculating the color information of the adaptation white point by a method different from the case where it is determined that the frame is displayed by the determination step when it is determined that the frame is not displayed ;
And a color conversion step of performing color conversion of the image based on color information of the adaptive white point. An acquisition step of acquiring color information of the reference white point and acquiring information relating to a frame displayed around the image;
A calculation step of calculating color information of the adaptive white point based on the color information of the reference white point and the information relating to the frame;
A color conversion step of performing color conversion of the image based on the color information of the adaptive white point,
The calculating step includes:
A first color temperature calculating step of calculating a color temperature of the reference white point based on color information of the reference white point;
A second color temperature calculating step of calculating a color temperature of the frame color based on the information related to the frame;
The color temperature of the adaptation white point is calculated based on the color temperature of the reference white point, the color temperature of the frame color, and the adaptation ratio corresponding to the color temperature of the reference white point and the color temperature of the frame color. A third color temperature calculating step,
A color processing method comprising: calculating color information of the adaptive white point based on a color temperature of the adaptive white point. An acquisition step of acquiring color information of a reference white point and acquiring information relating to a frame displayed around the image;
A calculation step of calculating color information of the adaptive white point based on the color information of the reference white point and the information relating to the frame;
A color conversion step of performing color conversion of the image based on the color information of the adaptive white point,
The calculating step includes:
A first color temperature calculating step of calculating a color temperature of the reference white point based on color information of the reference white point;
A second color temperature calculating step of calculating a color temperature of the frame color based on the information related to the frame;
An acquisition step of acquiring an area ratio of the display area of the frame to the entire image display area;
A third color temperature calculating step of calculating a color temperature of the adaptation white point based on a color temperature of the reference white point, a color temperature of the frame color, and an adaptation ratio corresponding to the area ratio;
A color processing method comprising: calculating color information of the adaptive white point based on a color temperature of the adaptive white point. Acquires the color information of the reference white point, the resulting step preparative obtaining information relating to a frame displayed around the image,
A determination step of determining whether or not a frame is displayed around the image;
When it is determined that the frame is displayed by the determination step, the color information of the adaptive white point is calculated based on the color information of the reference white point and the information related to the frame, and the frame is displayed by the determination step. A step of calculating the color information of the adaptation white point by a method different from the case where it is determined that the frame is displayed by the determination step when it is determined that the frame is not displayed ;
A program for causing a computer to execute a color conversion step of performing color conversion of the image based on color information of the adaptive white point. An acquisition step of acquiring color information of a reference white point and acquiring information relating to a frame displayed around the image;
A calculation step of calculating color information of the adaptive white point based on the color information of the reference white point and the information relating to the frame;
Based on the color information of the adaptive white point, the computer performs a color conversion step for performing color conversion of the image,
The calculating step includes:
A first color temperature calculating step of calculating a color temperature of the reference white point based on color information of the reference white point;
A second color temperature calculating step of calculating a color temperature of the frame color based on the information related to the frame;
The color temperature of the adaptation white point is calculated based on the color temperature of the reference white point, the color temperature of the frame color, and the adaptation ratio corresponding to the color temperature of the reference white point and the color temperature of the frame color. A third color temperature calculating step,
A program for calculating color information of the adaptive white point based on a color temperature of the adaptive white point. An acquisition step of acquiring color information of a reference white point and acquiring information relating to a frame displayed around the image;
A calculation step of calculating color information of the adaptive white point based on the color information of the reference white point and the information relating to the frame;
Based on the color information of the adaptive white point, the computer performs a color conversion step for performing color conversion of the image,
The calculating step includes:
A first color temperature calculating step of calculating a color temperature of the reference white point based on the color information of the reference white point;
A second color temperature calculating step of calculating a color temperature of the frame color based on the information related to the frame;
An acquisition step of acquiring an area ratio of the display area of the frame to the entire image display area;
A third color temperature calculating step of calculating a color temperature of the adaptation white point based on a color temperature of the reference white point, a color temperature of the frame color, and an adaptation ratio corresponding to the area ratio;
A program for calculating color information of the adaptive white point based on a color temperature of the adaptive white point.

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