Color adjustment device and color adjustment program

Abstract

To save the trouble to adjust a color profile of a display for equalizing colors on a printed medium and colors on the display to each other while taking a visual difference between a specific color on the printed medium and the specific color on the display into consideration when a medium colorimetric value and a display colorimetric value are equal to each other.SOLUTION: A learning processing part 22 uses learning data 16 to let a colorimetric value computation model 18 learn so as to input a medium colorimetric value 16a and spectral distribution characteristics 16c of a specific color on a display D and then output target colorimetric value information when the specific color on the display is displayed equally to the specific color on a printed medium. A target colorimetric value acquisition part 24 inputs the medium colorimetric value associated with an object printed medium and spectral distribution characteristics of the specific color on an object display TD to the colorimetric value computation model 18 having learnt so as to acquire target colorimetric value information as to the object display TD.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a color adjustment device and a color adjustment program.

Background Art

[0002] Conventionally, when the same data is displayed on different displays, the color profile of the display is adjusted so that the display colors on each display are equivalent.

[0003] For example, in Patent Document 1, in a first environment, a first observer adjusts a first display so that the color of a display image displayed on the first display matches the color of a color sample that is a reflective object. In a second environment, a second observer adjusts a second display so that the color of a display image displayed on the second display matches the color of the color sample, and a conversion matrix showing the relationship between the RGB values of the adjusted first display and the RGB values of the second display is derived. A color management system for determining the display color of the first display or the second display using the conversion matrix is disclosed.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] By the way, consider adjusting the color profile of the display so that the color on a printing medium such as paper is equivalent to the color on the display. A method for the user to manually adjust the color profile so that the color on a printing medium such as paper is equivalent to the color on the display can be considered. However, when there are many types of printing media, the user needs to adjust for each printing medium, which is troublesome.

[0006] Therefore, it is desirable to automatically adjust the color profile of the display so that the colors on the print medium and the colors on the display are equivalent.

[0007] One possible method for automatically adjusting color profiles is to adjust the display's color profile so that the media colorimetric value obtained by measuring a specific color on a print medium matches the display colorimetric value obtained by measuring the same specific color displayed on the screen. However, with this method, the appearance of a specific color on a print medium and a specific color on a display may not match. In other words, if the display's color profile is adjusted so that the color on the print medium and the color on the display are equivalent, the media colorimetric value and the display colorimetric value may not match.

[0008] Such discrepancies stem from differences in spectral distribution characteristics between printed materials and displays. For example, when a specific color is white, as shown in Figure 7, the spectral distribution characteristics when measuring printed materials show that the light intensity is approximately uniform at each emission wavelength. On the other hand, in displays, colors are generally represented by combinations of light-emitting elements that emit red (R), green (G), and blue (B) light, respectively. As a result, as shown in Figure 8, the light intensity at red, green, and blue emission wavelengths is significantly higher.

[0009] The objective of the present invention is to reduce the effort required to adjust the display's color profile to make the colors on the print medium and the colors on the display equivalent, while taking into account the visual difference between a specific color on the print medium and a specific color on the display when the colorimetric values ​​of the print medium and the colorimetric values ​​of the display match. [Means for solving the problem]

[0010] The invention according to claim 1 is a color adjustment device comprising a processor, wherein the processor uses learning data consisting of a combination of a medium colorimetric value obtained by measuring a specific color on a printing medium, display colorimetric value information indicating a display colorimetric value obtained by measuring the specific color on a display adjusted to display the specific color on the printing medium in a color equivalent to the specific color on the printing medium, and the spectral distribution characteristics of the specific color on the display before adjustment to output target colorimetric value information indicating a display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the medium colorimetric value of the printing medium and the spectral distribution characteristics of the display, to input the medium colorimetric value for the target printing medium and the spectral distribution characteristics of the target display to obtain the target colorimetric value information for the target display, and adjusts the color profile of the target display based on the target colorimetric value information for the target display. The invention according to claim 2 is a color adjustment device comprising a processor, wherein the processor uses learning data consisting of a combination of a medium colorimetric value obtained by measuring a specific color on a printing medium, a display colorimetric value obtained by measuring a specific color on a display adjusted to display the specific color on the printing medium in a color equivalent to the specific color on the printing medium, and the spectral distribution characteristics of the specific color on the display before adjustment to output target colorimetric value information indicating the display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the medium colorimetric value of the printing medium and the spectral distribution characteristics of the display. The processor inputs the medium colorimetric value for the target printing medium and the spectral distribution characteristics of the specific color on the target display to the color adjustment device, thereby obtaining target colorimetric value information for the target display and providing the target colorimetric value information for the target display to the user. The invention according to claim 3 is a color adjustment device according to claim 1 or 2, characterized in that the processor performs a learning process to train the colorimetric value calculation model. The invention according to claim 4 is a color adjustment device according to claim 1 or 2, characterized in that the specific color is white. The invention according to claim 5 is a color adjustment program characterized in that it uses a color measurement value calculation model, which has been trained to output target color measurement value information indicating the display color measurement value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the color measurement value of the printing medium and the spectral distribution characteristics of the display, to input the color measurement value of the target printing medium and the spectral distribution characteristics of the target display, thereby obtaining the target color measurement value information for the target display, and adjusting the color profile of the target display based on the target color measurement value information for the target display. The invention according to claim 6 is a color adjustment program characterized in that it uses a color measurement value calculation model, which has been trained to output target color measurement value information indicating the display color measurement value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the color measurement value of the printing medium and the spectral distribution characteristics of the display, to input the color measurement value of the target printing medium and the spectral distribution characteristics of the target display, thereby obtaining the target color measurement value information for the target display and providing the target color measurement value information for the target display to the user. This model is trained to use a color measurement value calculation model, which has been trained to output target color measurement value information indicating the display color measurement value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the color measurement value of the printing medium and the spectral distribution characteristics of the display. [Effects of the Invention]

[0011] According to the invention of claim 1, 2, 5, or 6, the effort required to adjust the display's color profile to make the colors on the print medium and the colors on the display equivalent can be reduced, while taking into account the visual difference between a specific color on the print medium and a specific color on the display when the media colorimetric value and the display colorimetric value match. According to the invention of claim 3, a color adjustment device according to the present invention can be used to train a colorimetric value calculation model. According to the invention of claim 4, the color profile of the display can be adjusted by using white, which affects how people perceive colors, as a specific color. [Brief explanation of the drawing]

[0012] [Figure 1] This is a schematic diagram of the color adjustment device according to this embodiment. [Figure 2] This figure shows an example of training data. [Figure 3] This is a diagram showing the xy chromaticity. [Figure 4] This figure shows an example of a tone correction curve. [Figure 5] This figure shows the distribution of colorimetric values ​​for different media. [Figure 6] This flowchart shows the process for acquiring target colorimetric value information. [Figure 7] This figure shows an example of spectral distribution characteristics when measuring the color of a printed medium. [Figure 8] This figure shows an example of the spectral distribution characteristics when measuring the color of a display. [Modes for carrying out the invention]

[0013] FIG. 1 is a schematic configuration diagram of a color adjustment device 10 according to the present embodiment. The color adjustment device 10 is a device provided with a graphic board for displaying a screen on a display D or a target display TD. The color adjustment device 10 is typically a personal computer, but any device may be used as long as it can display a screen on the display D or the target display TD and can adjust the color profile of the display D or the target display TD. Note that the display D and the target display TD are each composed of, for example, a liquid crystal panel or an organic EL (Electro Luminescence). The display D is a display used to obtain learning data 16 described later, and the target display TD is a display that is a target for adjusting the color profile using a colorimetric value calculation model 18 described later.

[0014] The input interface 12 is composed of, for example, a mouse, a keyboard, or a touch panel. The input interface 12 is used for a user to input various commands to the color adjustment device 10.

[0015] The memory 14 includes, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), a ROM (Read Only Memory), or a RAM (Random Access Memory). The memory 14 may be provided separately from the processor 20 described later, or at least a part thereof may be provided inside the processor 20. A color adjustment program for operating each part of the color adjustment device 10 is stored in the memory 14. Note that the color adjustment program can also be stored in a computer-readable non-temporary storage medium such as a USB (Universal Serial Bus) memory or a CD-ROM. The color adjustment device 10 can read and execute the color adjustment program from such a storage medium. Further, as shown in FIG. 1, learning data 16 and a colorimetric value calculation model 18 are stored in the memory 14.

[0016] The learning data 16 is data for training the colorimetric value calculation model 18. The learning data 16 is acquired by the learning data acquirer and stored in the memory 14. FIG. 2 is a diagram showing an example of the learning data 16. The learning data 16 is composed of a media colorimetric value 16a obtained by colorimetrically measuring a specific color on a printing medium such as paper, display colorimetric value information 16b indicating a display colorimetric value obtained by colorimetrically measuring the specific color on the display D adjusted to be displayed with a color equivalent to the specific color on the printing medium, and a spectral distribution characteristic 16c of the specific color on the display D before adjustment. Hereinafter, a method for acquiring the learning data 16 will be described.

[0017] First, a method for acquiring the media colorimetric value 16a will be described. The media colorimetric value 16a is acquired by the learning data acquirer colorimetrically measuring a specific color on the printing medium using a colorimeter. Although not limited thereto, from the viewpoint of ease of colorimetry, the specific color on the printing medium may be, for example, the color of the printing medium itself, that is, the color of the unprinted background portion.

[0018] Also, although not limited thereto, the specific color may be white. As described above, or as will be described in detail later, the display colorimetric value information 16b included in the learning data 16 indicates the display colorimetric value when the specific color on the printing medium and the specific color on the display D are adjusted to look the same. That is, the display colorimetric value information 16b is obtained by colorimetrically measuring the specific color on the display D adjusted based on the specific color. Here, when a person views a color, there is a tendency to view it based on white, and the appearance of white may affect not only the appearance of white but also the appearance of other colors. Therefore, it is preferable to use white, which affects the human perception of color, as the specific color.

[0019] In the present embodiment, the colorimetric value is represented in the CIE 1931 XYZ color space. More specifically, the colorimetric value is represented by the xy coordinates in the xy chromaticity diagram shown in FIG. 3. Of course, the method of expressing the colorimetric value is not limited to this.

[0020] Next, the method for acquiring display colorimetric value information 16b will be explained. First, the training data acquirer acquires image data of the printed medium, which is the colorimetric target of the media colorimetric value 16a, by optically scanning it or by taking a photograph, and displays the image data on the display D. Then, the training data acquirer adjusts the color profile of the display D so that the specific color on the display D is equivalent to the specific color on the printed medium. For example, the training data acquirer can display an xy chromaticity diagram, as shown in Figure 3, on the display D along with the image data, and adjust the color profile of the display D by specifying the specific color on the xy chromaticity diagram.

[0021] A color profile is composed of, for example, gradation correction curves for R (red), G (green), and B (blue), as shown in Figure 4. A gradation correction curve is a curve (or straight line) that shows the relationship between the input value, which is the pixel value (RGB value) of each pixel value in the image data, and the output value, which is the pixel value (RGB value) corresponding to that input value when the image data is displayed on the display D. By adjusting the color profile, the color tone on the display D changes when the same image data is displayed.

[0022] After adjusting the color profile, the training data acquirer measures a specific color on display D (in other words, a color displayed on display D) using a colorimeter and obtains a display colorimetric value. The display colorimetric value information 16b may be the display colorimetric value obtained in this way, but in this embodiment, the training data acquirer calculates the difference between the display colorimetric value and the media colorimetric value 16a, and uses this difference as the display colorimetric value information 16b. In this embodiment, the difference between the display colorimetric value and the media colorimetric value 16a is expressed as the difference between the x value of the display colorimetric value and the x value of the media colorimetric value 16a, and the difference between the y value of the display colorimetric value and the y value of the media colorimetric value 16a.

[0023] Finally, the method for obtaining the spectral distribution characteristics 16c will be explained. The spectral distribution characteristics 16c are the spectral distribution characteristics of a specific color on the display D before adjusting the color profile described above. That is, the person acquiring the training data displays the image data corresponding to the print medium that is the target of the color measurement of the media colorimetric value 16a on the display D, and then obtains the spectral distribution characteristics 16c by measuring the specific color on the display D before adjusting the color profile of the display D.

[0024] The spectral distribution characteristics 16c can be represented by a graph, for example, as shown in Figure 8. However, since only numerical values ​​can be input into the learning model, the spectral distribution characteristics 16c are represented by a parameter sequence. Specifically, the spectral distribution characteristics 16c include the wavelength at which the intensity (specific energy) of light peaks (if the specific color is white, there are three such peaks), and the full width at half maximum of each peak.

[0025] The user who acquires the training data associates the acquired media colorimetric values ​​16a, display colorimetric value information 16b, and spectral distribution characteristics 16c as described above, and stores them in memory 14 as training data 16.

[0026] The training data acquirer acquires multiple training data 16 and stores them in memory 14. Specifically, the training data acquirer acquires training data 16 for multiple types of printing media. Multiple types of printing media are printing media in which a specific color (white in this embodiment) differs from one another. For example, the training data acquirer acquires multiple training data 16 for multiple white papers, each with subtly different shades of white.

[0027] At least three training data sets 16 are prepared. Figure 5 shows the distribution of media colorimetric values ​​16a for multiple printing media. For the training data 16, it is preferable to obtain three training data sets 16 for three printing media, corresponding to the media colorimetric values ​​C1 and C2 located near the ends of the distribution of media colorimetric values ​​16a for multiple printing media, and the media colorimetric value C3 located near the center of the distribution. This makes it possible to achieve a certain level of accuracy in the trained colorimetric value calculation model 18 with as little training data 16 as possible.

[0028] Returning to Figure 1, the colorimetric value calculation model 18 is a learning model composed of, for example, a model using polynomial approximation or maximum likelihood estimation, or a neural network. The colorimetric value calculation model 18 is learned by supervised learning based on the training data 16. Details of the learning process of the colorimetric value calculation model 18 will be described later, along with the processing of the processor 20 (especially the learning processing unit 22).

[0029] The processor 20 refers to a broad type of processing unit and includes at least one of the following: a general-purpose processing unit (e.g., a CPU (Central Processing Unit)) and a dedicated processing unit (e.g., a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a programmable logic device). The processor 20 may not consist of a single processing unit, but rather of multiple processing units located in physically separate locations working together. As shown in Figure 1, the processor 20 performs the functions of a learning processing unit 22, a target color measurement value acquisition unit 24, an adjustment unit 26, and a presentation unit 28 based on the color adjustment program stored in the memory 14.

[0030] The learning processing unit 22 trains the colorimetric value calculation model 18 using the learning data 16. The learning data 16 consists of media colorimetric values ​​16a, display colorimetric value information 16b, and spectral distribution characteristics 16c. As described above, the colorimetric value of a specific color on a printing medium (media colorimetric value 16a) and the colorimetric value of a specific color on a display D adjusted to look the same as the specific color on the printing medium (display colorimetric value) are different from each other. This is due to the spectral distribution characteristics 16c of the display D. The learning data 16 can be said to show the relationship between the media colorimetric value 16a, the display colorimetric value of the display D adjusted to look the same as the specific color on the printing medium, and the spectral distribution characteristics 16c of the display D.

[0031] Therefore, by training with the training data 16, the colorimetric value calculation model 18 becomes able to predict the relationship between the media colorimetric value 16a, the display colorimetric value of the display D adjusted so that it looks the same as a specific color on the printing medium, and the spectral distribution characteristics 16c of the display D. In this embodiment, the training processing unit 22 takes the media colorimetric value 16a and the spectral distribution characteristics 16c of the specific color on the display D as input and trains the colorimetric value calculation model 18 to output target colorimetric value information that indicates the display colorimetric value when the specific color on the display D is displayed as a color equivalent to the specific color on the printing medium.

[0032] For example, suppose the colorimetric value calculation model 18 is represented by the linear regression model shown in Equations 1 and 2 below. dx = a_x*A + b_x*B + … +c_x*x + d_x (Formula 1) dy = a_y*A + b_y*B + … +c_y*y + d_y (Formula 2)

[0033] In Equation 1, dx, and in Equation 2, dy, are the difference between the media colorimetric value 16a and the target display colorimetric value (i.e., the display colorimetric value when a specific color on the print medium and a specific color on the display appear to be the same) as target colorimetric value information, which is the output of the colorimetric value calculation model 18. Note that the target colorimetric value information, which is the output of the colorimetric value calculation model 18, may also be the target display colorimetric value itself.

[0034] Furthermore, A, B, ... in Equations 1 and 2 are the values ​​of each item of the spectral distribution characteristic 16c input to the colorimetric value calculation model 18, x in Equation 1 is the x value of the media colorimetric value 16a input to the colorimetric value calculation model 18, and y in Equation 2 is the y value of the media colorimetric value 16a input to the colorimetric value calculation model 18.

[0035] Furthermore, a_x, b_x, and c_x in Equations 1 and 2 are correction coefficients (in other words, weights) for each parameter input to the colorimetric value calculation model 18, and d_x in Equation 1 and d_y in Equation 2 are adjustment terms (in other words, biases).

[0036] During the learning process, the colorimetric value calculation model 18, upon receiving the media colorimetric value 16a (x in Equation 1 and y in Equation 2) and spectral distribution characteristics (A, B... in Equations 1 and 2), calculates the target colorimetric value information (dx in Equation 1 and dy in Equation 2) based on the current values ​​of the correction coefficients a_x, b_x, c_x and adjustment terms d_x, d_y. The learning processing unit 22 then adjusts the correction coefficients a_x, b_x, c_x and adjustment terms d_x, d_y so that the difference between the output of the colorimetric value calculation model 18 and the display colorimetric value information 16b of the learning data 16 is minimized. By repeating this learning process, the colorimetric value calculation model 18 becomes capable of outputting target colorimetric value information with high accuracy based on the media colorimetric value 16a and spectral distribution characteristics 16c.

[0037] To reiterate, the colorimetric value calculation model 18 is not limited to linear regression models as shown in Equations 1 and 2, but may also be a model utilizing polynomial approximation or maximum likelihood estimation, or even a neural network.

[0038] The target color measurement value acquisition unit 24 acquires target color measurement value information for the target display TD using the learned color measurement value calculation model 18. First, the user performing color matching of a specific color between the target printing medium and the target display TD measures the specific color of the target printing medium and acquires the media color measurement value for the target printing medium. The user also displays image data corresponding to the target printing medium on the target display TD and acquires the spectral distribution characteristics of the specific color on the target display TD. The user inputs the acquired media color measurement value for the target printing medium and the spectral distribution characteristics of the specific color on the target display TD into the color adjustment device 10.

[0039] The target colorimetric value acquisition unit 24 inputs the media colorimetric value for the target printing medium and the spectral distribution characteristics of a specific color on the target display TD, received from the user, into the learned colorimetric value calculation model 18. The colorimetric value calculation model 18 then outputs target colorimetric value information for the target display TD, which indicates the display colorimetric value when the specific color on the target display TD is displayed as an equivalent color to the specific color on the target printing medium. In this embodiment, the difference between the input media colorimetric value of the target printing medium and the target display colorimetric value is output. This allows the target colorimetric value acquisition unit 24 to acquire target colorimetric value information for the target display TD.

[0040] The adjustment unit 26 adjusts the color profile of the target display TD based on the target color measurement value information for the target display TD acquired by the target color measurement value acquisition unit 24. Specifically, the adjustment unit 26 automatically adjusts the color profile of the target display TD so that the color measurement value when measuring a specific color on the target display TD becomes the display color measurement value indicated by the target color measurement value information. As a result, the specific color on the target printing medium and the specific color on the target display TD become equivalent colors.

[0041] The display unit 28 presents the user with target color measurement value information for the target display TD, which has been acquired by the target color measurement value acquisition unit 24. For example, the display unit 28 causes the target color measurement value information to be displayed on the target display TD. Based on the provided target color measurement value information, the user can manually adjust the color profile of the target display TD. This makes a specific color on the target printing medium and a specific color on the target display TD equivalent.

[0042] According to this embodiment, once the colorimetric value calculation model 18 has been trained, the user can then obtain target colorimetric value information for the target display TD to make the specific color on the target printing medium and the specific color on the target display TD equivalent, simply by acquiring the media colorimetric value obtained by measuring a specific color on the target printing medium and the spectral distribution characteristics of the specific color on the target display TD. Therefore, conventionally, it was necessary to adjust the color profile of the target display TD as many times as there were types of target printing media, without knowing the target colorimetric value information for the target display TD. However, according to this embodiment, it is only necessary to adjust the color profile of the display D at least as many times as there were training data 16. This can reduce the effort required to adjust the color profile of the target display TD.

[0043] The outline of the color adjustment device 10 according to this embodiment is as described above. The processing flow of the color adjustment device 10 will now be explained according to the flowchart shown in Figure 6.

[0044] In step S10, the learning processing unit 22 receives the learning data 16 from the learning data acquirer.

[0045] In step S12, the learning processing unit 22 uses the learning data 16 received in step S10 to train the colorimetric value calculation model 18. Note that the learning steps represented by steps S10 and S12 and the target colorimetric value information acquisition steps represented by steps S14 to S22 below do not need to be performed consecutively.

[0046] In step S14, the target color measurement value acquisition unit 24 receives from the user a media color measurement value for the target printing medium obtained by measuring a specific color of the target printing medium.

[0047] In step S16, the target color measurement value acquisition unit 24 receives the spectral distribution characteristics of the target display TD from the user, which are obtained by measuring a specific color displayed on the target display TD.

[0048] In step S18, the target colorimetric value acquisition unit 24 inputs the media colorimetric value for the target printing medium acquired in step S14, and the spectral distribution characteristics of the target display TD acquired in step S16, into the trained colorimetric value calculation model 18 that was trained in step S12.

[0049] In step S20, the trained colorimetric value calculation model 18 outputs target colorimetric value information for the target display TD. As a result, the target colorimetric value acquisition unit 24 acquires target colorimetric value information for the target display TD.

[0050] In step S22, the adjustment unit 26 adjusts the color profile of the target display TD based on the target color measurement value information acquired in step S20. Alternatively, in step S22, the presentation unit 28 provides the user with the target color measurement value information acquired in step S20. The user can then manually adjust the target display TD based on the presented target color measurement value information.

[0051] Although embodiments of the present invention have been described above, the present invention is not limited to the above embodiments, and various modifications are possible without departing from the spirit of the invention.

[0052] For example, in the above embodiment, the learning process for training the colorimetric value calculation model 18 was performed by the processor 20 (particularly the learning processing unit 22) of the color adjustment device 10. However, the learning process for the colorimetric value calculation model 18 does not necessarily have to be performed by the color adjustment device 10; it may be performed by another device. In that case, the trained colorimetric value calculation model 18 is stored in the memory 14, and the processor 20 does not need to perform its function as the learning processing unit 22.

[0053] (Note) (((1))) Equipped with a processor, The aforementioned processor, By inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display, the target colorimetric value information for the target display is obtained by using training data consisting of a media colorimetric value obtained by measuring a specific color on a printing medium, display colorimetric value information indicating a display colorimetric value obtained by measuring the specific color on a display adjusted to display the same color as the specific color on the printing medium, and the spectral distribution characteristics of the specific color on the display before adjustment, the target colorimetric value information for the target display is obtained by inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display to a colorimetric value calculation model that has been trained to output target colorimetric value information indicating the display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the media colorimetric value of the printing medium and the spectral distribution characteristics of the display. Based on the target color measurement value information for the target display, the color profile of the target display is adjusted. A color adjustment device characterized by the following features. (((2))) Equipped with a processor, The aforementioned processor, By inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display, the target colorimetric value information for the target display is obtained by using training data consisting of a media colorimetric value obtained by measuring a specific color on a printing medium, display colorimetric value information indicating a display colorimetric value obtained by measuring the specific color on a display adjusted to display the same color as the specific color on the printing medium, and the spectral distribution characteristics of the specific color on the display before adjustment, the target colorimetric value information for the target display is obtained by inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display to a colorimetric value calculation model that has been trained to output target colorimetric value information indicating the display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the media colorimetric value of the printing medium and the spectral distribution characteristics of the display. The target colorimetric value information for the target display is provided to the user. A color adjustment device characterized by the following features. (((3))) The processor performs a learning process to train the colorimetric value calculation model. A color adjustment device according to (((1))) or (((2))) as described above. (((4))) The aforementioned specific color is white. A color adjustment device according to any one of (((1))) to (((3))) as described above. (((5))) On the computer, A colorimetric calculation model has been trained to output target colorimetric information indicating the display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the media colorimetric value of the printing medium and the spectral distribution characteristics of the display. By inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display into the colorimetric calculation model, the target colorimetric information for the target display is obtained. Based on the target color measurement value information for the target display, the color profile of the target display is adjusted. A color adjustment program characterized by the following features. (((6))) On the computer, A colorimetric calculation model has been trained to output target colorimetric information indicating the display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the media colorimetric value of the printing medium and the spectral distribution characteristics of the display. By inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display into the colorimetric calculation model, the target colorimetric information for the target display is obtained. The user is provided with the target color measurement value information for the target display. A color adjustment program characterized by the following features.

[0054] According to the inventions of (((1))), (((2))), (((5))), or (((6))), when the color measurement values ​​of the media and the color measurement values ​​of the display match, it is possible to reduce the effort required to adjust the color profile of the display in order to make the colors on the print medium and the colors on the display equivalent, while taking into account the difference in appearance between a specific color on the print medium and a specific color on the display. According to the invention of (((3))), a color adjustment device according to the present invention can be used to train a colorimetric value calculation model. According to the invention of (((4))), the color profile of the display can be adjusted by using white, which affects how people perceive colors, as a specific color. [Explanation of Symbols]

[0055] 10 Color adjustment device, 12 Input interface, 14 Memory, 16 Learning data, 16a Media colorimetric value, 16b Display colorimetric value information, 16c Spectral distribution characteristics, 18 Colorimetric value calculation model, 20 Processor, 22 Learning processing unit, 24 Target colorimetric value acquisition unit, 26 Adjustment unit, 28 Presentation unit, D Display, TD Target display.

Claims

1. Equipped with a processor, The aforementioned processor, By inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display, the target colorimetric value information for the target display is obtained by using training data consisting of a media colorimetric value obtained by measuring a specific color on a printing medium, display colorimetric value information indicating a display colorimetric value obtained by measuring the specific color on a display adjusted to display the same color as the specific color on the printing medium, and the spectral distribution characteristics of the specific color on the display before adjustment, the target colorimetric value information for the target display is obtained by inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display to a colorimetric value calculation model that has been trained to output target colorimetric value information indicating the display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the media colorimetric value of the printing medium and the spectral distribution characteristics of the display. Based on the target color measurement value information for the target display, the color profile of the target display is adjusted. A color adjustment device characterized by the following features.

2. Equipped with a processor, The aforementioned processor, By inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display, the target colorimetric value information for the target display is obtained by using training data consisting of a media colorimetric value obtained by measuring a specific color on a printing medium, display colorimetric value information indicating a display colorimetric value obtained by measuring the specific color on a display adjusted to display the same color as the specific color on the printing medium, and the spectral distribution characteristics of the specific color on the display before adjustment, the target colorimetric value information for the target display is obtained by inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display to a colorimetric value calculation model that has been trained to output target colorimetric value information indicating the display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the media colorimetric value of the printing medium and the spectral distribution characteristics of the display. The target colorimetric value information for the target display is provided to the user. A color adjustment device characterized by the following features.

3. The processor performs a learning process to train the colorimetric value calculation model. The color adjustment device according to claim 1 or 2, characterized in that it is a color adjustment device.

4. The aforementioned specific color is white. The color adjustment device according to claim 1 or 2, characterized in that it is a color adjustment device.

5. On the computer, A colorimetric calculation model has been trained to output target colorimetric information indicating the display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the media colorimetric value of the printing medium and the spectral distribution characteristics of the display. By inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display into the colorimetric calculation model, the target colorimetric information for the target display is obtained. Based on the target color measurement value information for the target display, the color profile of the target display is adjusted. A color adjustment program characterized by the following features.

6. On the computer, A colorimetric calculation model has been trained to output target colorimetric information indicating the display colorimetric value when the specific color on the display is displayed in a color equivalent to the specific color on the printing medium, based on the media colorimetric value of the printing medium and the spectral distribution characteristics of the display. By inputting the media colorimetric value for the target printing medium and the spectral distribution characteristics of the target display into the colorimetric calculation model, the target colorimetric information for the target display is obtained. The user is provided with the target color measurement value information for the target display. A color adjustment program characterized by the following features.

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