WO2021166254A1 - Information processing device, program, and method - Google Patents

Information processing device, program, and method Download PDF

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Publication number
WO2021166254A1
WO2021166254A1 PCT/JP2020/007231 JP2020007231W WO2021166254A1 WO 2021166254 A1 WO2021166254 A1 WO 2021166254A1 JP 2020007231 W JP2020007231 W JP 2020007231W WO 2021166254 A1 WO2021166254 A1 WO 2021166254A1
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WIPO (PCT)
Prior art keywords
display color
rgb value
color
information processing
value
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PCT/JP2020/007231
Other languages
French (fr)
Japanese (ja)
Inventor
裕麻 平井
稲石　大祐
宏明 新井
りんな 金尾
純一 小坂
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ソニーグループ株式会社
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Priority to PCT/JP2020/007231 priority Critical patent/WO2021166254A1/en
Publication of WO2021166254A1 publication Critical patent/WO2021166254A1/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/02—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the way in which colour is displayed
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/02—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the way in which colour is displayed
    • G09G5/06—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the way in which colour is displayed using colour palettes, e.g. look-up tables
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/46—Colour picture communication systems
    • H04N1/56—Processing of colour picture signals
    • H04N1/60—Colour correction or control

Definitions

  • This disclosure relates to information processing devices, programs, and methods.
  • this disclosure proposes an information processing device, a program, and a method capable of efficiently and more accurately adjusting the display color of the information processing terminal.
  • a first information processing apparatus that acquires a first display color with respect to a first RGB value, which is displayed by a first apparatus to be adjusted and measured by a colorimeter.
  • An acquisition unit a generation unit that generates a mapping table between a third RGB value and a third display color specialized for the first device, based on at least the first RGB value and the first display color, and a generation unit.
  • the second display color for the second RGB value which is displayed by the reference second device and measured by the colorimeter, is acquired, and the third display color closest to the second display color is obtained from the mapping table.
  • An information processing apparatus is provided that includes a second acquisition unit that searches for and acquires a third RGB value corresponding to the nearest third display color.
  • the information processing device acquires the first display color with respect to the first RGB value displayed by the first device to be adjusted and measured by the colorimeter, and the first display color is obtained.
  • a mapping table between the third RGB value and the third display color specialized for the first device is generated based on at least the RGB value and the first display color of the above, and is displayed by the reference second device.
  • the second display color for the second RGB value measured by the colorimeter is acquired, the third display color closest to the second display color is searched from the mapping table, and the closest third display color is obtained.
  • a program is provided that executes a process of acquiring a third RGB value corresponding to the display color of.
  • the information processing apparatus acquires the first display color with respect to the first RGB value, which is displayed by the first apparatus to be adjusted and measured by the colorimeter, and is the first.
  • a mapping table between the third RGB value and the third display color specialized for the first device is generated based on at least the RGB value and the first display color of the above, and is displayed by the reference second device.
  • the second display color for the second RGB value measured by the colorimeter is acquired, the third display color closest to the second display color is searched from the mapping table, and the closest third display color is obtained.
  • a method of executing a process of acquiring a third RGB value corresponding to the display color of is provided.
  • the information processing device 100 may be a server device managed by a manufacturer such as a smartphone, or may be a stationary terminal or a notebook PC (Personal Computer). Further, the information processing device 100 may be a cloud server device or a distributed computing system composed of a plurality of computers.
  • FIG. 1 is a block diagram showing a functional configuration example of the information processing apparatus 100 according to the present embodiment.
  • the information processing apparatus 100 according to the present embodiment includes a storage unit 110, an acquisition unit 120, a learning unit 130, a complementary unit 140, a generation unit 150, a communication unit 160, and a control unit 170.
  • the storage unit 110 is a storage area for temporarily or permanently storing various programs and data.
  • the storage unit 110 may store programs and data for the information processing device 100 to execute various functions.
  • the storage unit 110 contains programs and data for generating RGB-XYZ mapping table and 3D look-up table (3D-LUT) data, and a learning model for generating RGB-XYZ mapping table. Management data for managing various settings and the like may be stored.
  • the above is only an example, and the type of data stored in the storage unit 110 is not particularly limited.
  • the acquisition unit 120 is displayed by a user terminal 200 (corresponding to the "first device") such as a smartphone to which the display color (for example, XYZ value) is adjusted, and is measured by the colorimeter 400.
  • the display color (corresponding to the "first display color") for the RGB value (corresponding to the "first RGB value”) is acquired.
  • the acquisition unit 120 is displayed by the master monitor 300 (corresponding to the "second device") which is the reference of the display color, and is converted to the RGB value (“second RGB value”) measured by the colorimeter 400. Acquires the display color (corresponding to the "second display color") for (corresponding).
  • the acquisition unit 120 searches for the display color of the user terminal 200 closest to the display color of the master monitor 300 from the RGB-XYZ mapping table generated by the generation unit 150 described later, and corresponds to the closest display color. Get the RGB value.
  • the learning unit 130 inputs the RGB value input to the user terminal 200, inputs the RGB value to the user terminal 200 and outputs the RGB value, and sets the display color measured by the colorimeter 400 as the correct answer. Learn the teacher data to build a learning model. Using the learning model, it is possible to obtain a display color (corresponding to the "fifth display color") for an RGB value (corresponding to the "fifth RGB value”) that has not been measured by the colorimeter 400.
  • the learning model of the present embodiment is an input layer into which an RGB value input to the user terminal 200 is input, an output layer, and any layer from the input layer to the output layer, which is a layer other than the output layer.
  • the RGB value is input according to the RGB value input to the input layer, including the first element belonging to the above and the second element whose value is calculated based on the weights of the first element and the first element.
  • the information processing apparatus 100 is made to function so as to output the display color of the user terminal 200 at the time of the output from the output layer.
  • the generation device (for example, the information processing device 100 such as the server device) that generates the learning model of the present embodiment may use any learning algorithm to generate the above-mentioned learning model.
  • the generation device may generate the learning model of the present embodiment by using a learning algorithm such as a neural network (NN: Neural Network), a support vector machine (SVM: Support Vector Machine), or reinforcement learning.
  • NN Neural Network
  • SVM Support Vector Machine
  • reinforcement learning As an example, suppose that the generator uses NN to generate the learning model of the present embodiment.
  • the learning model may have an input layer containing one or more neurons, an intermediate layer containing one or more neurons, and an output layer containing one or more neurons.
  • the first element learning model contains corresponds to the input data such as x 1 and x 2 (x i).
  • the weight of the first component corresponds to the coefficients a i corresponding to x i.
  • the regression model can be regarded as a simple perceptron having an input layer and an output layer.
  • the first element corresponds to any node of the input layer
  • the second element can be regarded as the node of the output layer.
  • the learning model according to the present embodiment is realized by an NN having one or more intermediate layers such as a DNN (Deep Neural Network).
  • the first element included in the learning model corresponds to either the node of the input layer or the intermediate layer.
  • the second element corresponds to a node in the next stage, which is a node to which a value is transmitted from a node corresponding to the first element.
  • the weight of the first element corresponds to a connection coefficient which is a weight considered for the value transmitted from the node corresponding to the first element to the node corresponding to the second element.
  • the display color of the user terminal 200 when an arbitrary RGB value is input is calculated. More specifically, in the learning model, when an arbitrary RGB value is input, a coefficient is set so as to output the display color of the user terminal 200 when the RGB value is input.
  • the learning model according to the present embodiment may be a model generated based on the result obtained by repeating the input / output of data.
  • the learning model according to the present embodiment is a model (referred to as model A) that outputs the display color of the user terminal 200 when an arbitrary RGB value is input when the RGB value is input.
  • model A a model generated based on the result obtained by repeating the input / output of data to the model A.
  • the learning model according to the present embodiment is a learning model (referred to as model B) in which an arbitrary RGB value is input and the display color of the user terminal 200 when the RGB value output by the model A is input is output. It may be.
  • the learning model according to the present embodiment may be a learning model in which an arbitrary RGB value is input and the display color of the user terminal 200 when the RGB value output by the model B is input is output.
  • the complementary unit 140 is based on the RGB value input to the user terminal 200 and the display color obtained by inputting the RGB value to the user terminal 200 and being output and measured by the colorimeter 400. It complements the display color (corresponding to the "fifth display color”) for the RGB value (corresponding to the "fifth RGB value”) not measured by the colorimeter 400.
  • the generation unit 150 is based on the RGB value input to the user terminal 200 and the display color that is output by inputting the RGB value to the user terminal 200 and measured by the colorimeter 400.
  • a mapping table of RGB values (corresponding to "third RGB value”) and display colors (corresponding to "third display color”) specialized for the user terminal 200 is generated.
  • the generation unit is 3D based on the RGB value corresponding to the display color of the user terminal 200 closest to the display color of the master monitor 300 acquired by the acquisition unit 120 and the RGB value input to the master monitor 300.
  • -Generate LUT data The 3D-LUT data is for generating or updating a 3D-LUT for the user terminal 200. Further, the 3D-LUT is for adjusting the display color of the display panel of the user terminal 200.
  • the communication unit 160 is connected to various communication networks such as the Internet by wire or wirelessly, and transmits / receives information to / from other information processing devices on the network.
  • the communication unit 160 may display the display colors of the user terminal 200 and the master monitor 300 measured by the colorimeter 400, and each of the display colors input to the user terminal 200 and the master monitor 300 in order to display the display colors.
  • the RGB value is received from the colorimeter 400 or the like.
  • the communication unit 160 transmits the 3D-LUT data generated by the generation unit 150 to the user terminal 200 or the like.
  • Control unit 170 The control unit 170 according to the present embodiment is a processing unit that controls the entire information processing device 100, and controls each configuration included in the information processing device 100. Details of the function of the control unit 170 will be described later.
  • the functional configuration example of the information processing device 100 according to the present embodiment has been described above.
  • the above-mentioned functional configuration described with reference to FIG. 1 is merely an example, and the functional configuration of the information processing apparatus 100 according to the present embodiment is not limited to such an example.
  • the information processing device 100 does not necessarily have all of the configurations shown in FIG. 1, and each configuration such as the learning unit 130 may be provided in another device different from the information processing device 100.
  • the functional configuration of the information processing apparatus 100 according to the present embodiment can be flexibly modified according to specifications and operations.
  • each component is stored in a ROM (Read Only Memory), RAM (Random Access Memory), etc., which stores a control program in which an arithmetic unit such as a CPU (Central Processing Unit) describes a processing procedure for realizing these functions. This may be performed by reading the control program from the storage medium of the above, interpreting the program, and executing the program. Therefore, it is possible to appropriately change the configuration to be used according to the technical level at each time when the present embodiment is implemented. An example of the hardware configuration of the information processing apparatus 100 will be described later.
  • the present embodiment is performed in order to adjust the display color displayed on the display panel of the user terminal 200 so as to be close to the display color of the reference master monitor 300. Whether or not the display colors are close to each other is determined by measuring the display color of the display panel of each device with the colorimeter 400 and using the output XYZ value.
  • FIG. 2 is a diagram showing an example of color measurement of the user terminal 200 and the master monitor 300 according to the present embodiment.
  • the same RGB values (signals) are input to the user terminal 200 and the master monitor 300, and the display color displayed on the display panel of each device is measured by the colorimeter 400.
  • the display color of the user terminal 200 is adjusted so that the XYZ value of the user terminal 200 is close to the XYZ value of the master monitor 300 obtained as a result of color measurement.
  • FIG. 3 is a diagram showing an example of color measurement of the display display color of the user terminal 200 according to the present embodiment.
  • the display color of the display panel of the user terminal 200 is measured by the colorimeter 400.
  • the display panel of the user terminal 200 is taken close-up by the colorimeter 400 to measure the color so that the ambient light that affects the color measurement result does not enter, and the XYZ value of the user terminal 200 is obtained.
  • the master monitor 300 the same applies to the master monitor 300.
  • FIG. 4 is a diagram showing an example of a method for generating an RGB-XYZ mapping table according to the present embodiment.
  • the control unit 170 of the information processing apparatus 100 according to the present embodiment has an RGB value input to the user terminal 200 whose display color is to be adjusted and a display color (XYZ) output to the display panel corresponding to the RGB value.
  • One of the features is to generate a mapping table with (value).
  • the input RGB value is adjusted by the 3D-LUT stored in the user terminal 200.
  • the 3D-LUT adjusts the input RGB value to an RGB value suitable for the display panel of the user terminal 200, and suppresses variation in display color for each display panel. Therefore, the internal parameters (set RGB values) of the 3D-LUT are different for each display panel.
  • FIG. 5 is a diagram showing an example of an RGB-XYZ mapping table according to the present embodiment.
  • the example of FIG. 5 is an RGB-XYZ mapping table specialized for a display panel corresponding to 10 bits of each RGB color, and each RGB value of about 1 billion colors of 1024 ⁇ 1024 ⁇ 1024 is associated with the corresponding XYZ value. Has been done.
  • each color can be expressed in 256 gradations, so that the number of colors that can be displayed on the display panel is 256 ⁇ 256 ⁇ 256, which is about 16.77 million colors. Therefore, in order to generate an RGB-XYZ mapping table, an enormous amount of color measurement of about 16.77 million colors (about 1 billion colors as described above in the case of 10 bits) is performed to obtain an XYZ value corresponding to each color. There is a need.
  • each RGB value is 40 or less
  • a specific completion method may be, for example, tetrahedral completion, polynomial approximation, or the above-mentioned DNN.
  • Tetrahedral complementation is a method in which a cube formed from eight points close to the point to be complemented is divided into six tetrahedrons, and complementation is performed from the value of each point of the tetrahedron to which the point to be complemented belongs.
  • the coordinates of the values used for tetrahedral complementation must be evenly spaced. Therefore, it is necessary to separately perform complementary calculations for 8000 colors divided by 20 grid points and 9261 colors divided by 21 grid points. Therefore, if all of the RGB values are 40 or less, 9261 colors are used, and if the other colors are 8000 colors, the XYZ values of the unmeasured colors are obtained by a complementary formula.
  • a polynomial is obtained from the RGB value and XYZ value of the measured color, and the corresponding XYZ is calculated from the obtained RGB value using the polynomial.
  • the Levenberg-Marquardt method which is an optimal value search algorithm for the nonlinear least squares problem, can be used for estimating the parameters of the polynomial.
  • DNN inputs the RGB value of the measured color and learns the teacher data with the corresponding XYZ value as the correct answer to build a learning model.
  • the learning model in this case can be constructed with the values of X, Y, and Z, and the values of X, Y, and Z can be predicted separately.
  • the RGB-XYZ mapping table is generated without measuring all the colors that can be displayed on the display panel. be able to.
  • FIG. 6 is a diagram showing an example of a method for generating 3D-LUT data according to the present embodiment.
  • the control unit 170 of the information processing apparatus 100 according to the present embodiment is for generating or updating a 3D-LUT for the user terminal 200 by using the RGB-XYZ mapping table of the RGB value and the XYZ value of the user terminal 200.
  • One of the features is to generate 3D-LUT data.
  • an RGB value (referred to as “original RGB value”) is input to the master monitor 300 which is a reference of the display color, and the displayed color is measured by the colorimeter 400 to obtain the XYZ value. ..
  • the RGB-XYZ mapping table of the user terminal 200 whose display color is to be adjusted is searched for the XYZ value of the user terminal 200 closest to the obtained XYZ value, and the RGB value corresponding to the searched XYZ value ("" Corresponding RGB value ”) is acquired.
  • each XYZ value in the RGB-XYZ mapping table is compared with the XYZ value to be searched, and the closest XYZ value is searched.
  • the color having the smallest total absolute value difference of each element value is set as the closest color. Therefore, for example, when comparing color 1 (X1, Y1, Z1) and color 2 (X2, Y2, Z2) in the XYZ color space, the sum of the absolute value differences of each element value is
  • the color with the smallest value is searched from the RGB-XYZ mapping table.
  • DeltaE is compared with the XYZ value to be searched, and the smaller one is adopted as the closest XYZ value from the RGB-XYZ mapping table. , Acquire the RGB value corresponding to the adopted XYZ value.
  • the RGB value acquired from the RGB-XYZ mapping table becomes the RGB value corresponding to the display color of the user terminal 200 that is closest to the display color of the original RGB value on the master monitor 300. Therefore, when the original RGB value is input to the user terminal 200, the display color through the display of the user terminal 200 is approximated to the display color of the master monitor 300, which is a reference of the display color, by converting the original RGB value into the corresponding RGB value. Will come to do.
  • 3D-LUT data is generated using the original RGB value and the corresponding RGB value of each color, and the 3D-LUT of the user terminal 200 is generated based on the 3D-LUT data, or if it already exists, it is updated.
  • the display color of the user terminal 200 can be adjusted according to the display color of the reference master monitor 300. By making such adjustments to match the display color of the master monitor 300 on the various user terminals 200, it is possible to suppress variations in the display colors between the user terminals 200.
  • 3D-LUT data is generated for the number of display colors of the user terminal 200 (for example, about 16.77 million colors in the case of supporting 8 bits for each RGB color), an enormous amount of color measurement will be performed. It can be squeezed and generated.
  • ⁇ ⁇ Generates 3D-LUT data for 4913 colors of 17 ⁇ 17 ⁇ 17 for each of 17 colors such as (255, 255, 223), (255, 255, 239), (255, 255, 255). do.
  • a 17 ⁇ 17 ⁇ 17 3D-LUT is generated or updated based on the 3D-LUT data for 4913 colors. Then, it can be obtained by complementing the ungenerated 3D-LUT parameters from the generated 3D-LUT parameters for 4913 colors by using the complementing method or the like described above.
  • FIG. 7 is a block diagram showing a hardware configuration example of the information processing apparatus 100 according to the present embodiment.
  • the information processing device 100 includes, for example, a processor 801 and a ROM 802, a RAM 803, a host bus 804, a bridge 805, an external bus 806, an interface 807, an input device 808, and an output device 809.
  • the hardware configuration shown here is an example, and some of the components may be omitted. Further, components other than the components shown here may be further included.
  • the processor 801 functions as, for example, an arithmetic processing unit or a control device, and controls all or a part of the operation of each component based on various programs recorded in the ROM 802, RAM 803, storage 810, or removable recording medium 901. ..
  • the ROM 802 is a means for storing a program read into the processor 801 and data used for calculation.
  • the RAM 803 temporarily or permanently stores, for example, a program read into the processor 801 and various parameters that change as appropriate when the program is executed.
  • the processors 801, ROM 802, and RAM 803 are connected to each other via, for example, a host bus 804 capable of high-speed data transmission.
  • the host bus 804 is connected to the external bus 806, which has a relatively low data transmission speed, via, for example, the bridge 805.
  • the external bus 806 is connected to various components via the interface 807.
  • Input device 808 For the input device 808, for example, a mouse, a keyboard, a touch panel, buttons, switches, levers, and the like are used. Further, as the input device 808, a remote controller (hereinafter referred to as a remote controller) capable of transmitting a control signal using infrared rays or other radio waves may be used. Further, the input device 808 includes a voice input device such as a microphone.
  • the output device 809 provides the user with acquired information such as a display device such as a CRT (Cathode Ray Tube), an LCD, or an organic EL, an audio output device such as a speaker or headphones, a printer, a mobile phone, or a facsimile. It is a device that can notify visually or audibly. Further, the output device 809 according to the present embodiment includes various vibration devices capable of outputting tactile stimuli.
  • the storage 810 is a device for storing various types of data.
  • a magnetic storage device such as a hard disk drive (HDD), a semiconductor storage device, an optical storage device, an optical magnetic storage device, or the like is used.
  • the drive 811 is a device that reads information recorded on a removable recording medium 901 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, or writes information to the removable recording medium 901.
  • a removable recording medium 901 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory
  • connection port 812 is a port for connecting an external connection device 902 such as a USB (Universal Serial Bus) port, an IEEE1394 port, a SCSI (Small Computer System Interface), a RS-232C port, or an optical audio terminal.
  • an external connection device 902 such as a USB (Universal Serial Bus) port, an IEEE1394 port, a SCSI (Small Computer System Interface), a RS-232C port, or an optical audio terminal.
  • the communication device 813 is a communication device for connecting to a network, and is, for example, a communication card for wired or wireless LAN, Bluetooth (registered trademark), or WUSB (Wireless USB), a router for optical communication, and ADSL (Asymmetric Digital). A router for Subscriber Line), a modem for various communications, and the like.
  • the removable recording medium 901 is, for example, a DVD media, a Blu-ray (registered trademark) media, an HD DVD media, various semiconductor storage media, and the like.
  • the removable recording medium 901 may be, for example, an IC card equipped with a non-contact type IC chip, an electronic device, or the like.
  • the externally connected device 902 is, for example, a printer, a portable music player, a digital camera, a digital video camera, an IC recorder, or the like.
  • the storage unit 110 is realized by the ROM 802, the RAM 803, and the storage 810.
  • the control unit 170 according to the present embodiment realized by the processor 801 reads and executes each control program that realizes the acquisition unit 120, the learning unit 130, the complement unit 140, and the generation unit 150 from the ROM 802, the RAM 803, and the like.
  • the communication unit 160 reads data from ROM 802, RAM 803, etc., sends data to the communication device 813 via the host bus 804, the bridge 805, the external bus 806, and the interface 807, and data to the external device. Send (or receive data from an external device via the reverse route).
  • the information processing device 100 displays the first display color with respect to the first RGB value displayed by the first device (user terminal 200) to be adjusted and measured by the colorimeter 400.
  • a second acquisition unit that searches the mapping table for the third display color closest to the second display color and acquires the third RGB value corresponding to the closest third display color. It includes 120.
  • the present technology can also have the following configurations.
  • An information processing device A first acquisition unit that acquires the first display color with respect to the first RGB value, which is displayed by the first device to be adjusted and measured by the colorimeter, and A generation unit that generates a mapping table between a third RGB value and a third display color specialized for the first apparatus based on at least the first RGB value and the first display color.
  • the second display color for the second RGB value which is displayed by the reference second device and measured by the colorimeter, is acquired.
  • a second acquisition unit that searches the mapping table for the third display color closest to the second display color and acquires the third RGB value corresponding to the closest third display color.
  • Information processing device equipped with A first acquisition unit that acquires the first display color with respect to the first RGB value, which is displayed by the first device to be adjusted and measured by the colorimeter, and A generation unit that generates a mapping table between a third RGB value and a third display color specialized for the first apparatus based on at least the first RGB value and the first display color.
  • the generation unit further, based on the acquired third RGB value and the second RGB value, 3D for the 3D look-up table (3D-LUT) for the first apparatus.
  • the information processing apparatus according to (1) above which generates LUT data.
  • the first acquisition unit uses the fourth RGB value calculated by dividing the maximum RGB value of the specific bit by a predetermined interval as the first RGB value with respect to the fourth RGB value.
  • the fourth display color is acquired as the first display color, and the fourth display color is acquired.
  • a learning unit for inputting the first RGB value and learning teacher data with the first display color as the correct answer to build a learning model is further provided.
  • the generation unit further bases the fifth RGB value not measured by the colorimeter and the fifth display color output by inputting the fifth RGB value into the learning model.
  • the information processing apparatus which generates a mapping table.
  • the first acquisition unit uses the fourth RGB value calculated by dividing the maximum RGB value of the specific bit by a predetermined interval as the first RGB value with respect to the fourth RGB value.
  • the fourth display color is acquired as the first display color, and the fourth display color is acquired. Further provided with a complementary portion that complements the fifth display color with respect to the fifth RGB value not measured by the colorimeter based on the first RGB value and the first display color.
  • the information processing apparatus according to (1) or (2), wherein the generation unit further generates the mapping table based on the fifth RGB value and the fifth display color.
  • the first acquisition unit further divides the second maximum value of the RGB values equal to or less than the predetermined threshold value defined as the dark color by the second predetermined interval to obtain the sixth RGB value.
  • the second acquisition unit searches for the third display color having the smallest color difference from the second display color as the closest third display color.
  • the first acquisition unit acquires the first XYZ value with respect to the first RGB value as the first display color.
  • the second acquisition unit is The second XYZ value with respect to the second RGB value is acquired as the second display color, and the second display color is acquired.
  • a mapping table of a third RGB value and a third display color specialized for the first apparatus is generated based on at least the first RGB value and the first display color.
  • the second display color for the second RGB value, which is displayed by the reference second device and measured by the colorimeter, is acquired.
  • the information processing device Acquires the first display color for the first RGB value, which is displayed by the first device to be adjusted and measured by the colorimeter.
  • a mapping table of a third RGB value and a third display color specialized for the first apparatus is generated based on at least the first RGB value and the first display color.
  • Acquires the second display color for the second RGB value which is displayed by the reference second device and measured by the colorimeter.
  • Information processing device 110 Storage unit 120 Acquisition unit 130 Learning unit 140 Complementary unit 150 Generation unit 160 Communication unit 170 Control unit 200 User terminal 300 Master monitor 400 Colorimeter

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  • Color Image Communication Systems (AREA)

Abstract

Provided is an information processing device comprising: a first acquisition unit that acquires a first display color with respect to a first RGB value, the first display color being displayed by an information processing terminal to be adjusted and being measured by a colorimeter; a generation unit that generates, on the basis of at least the first RBG value and the first display color, a mapping table of a third RGB value and a third display color specialized for the information processing terminal; and a second acquisition unit that acquires a second display color with respect to a second RGB value, the second display color being displayed by a master monitor which serves as a reference and being measured by the colorimeter, and that retrieves the third display color which is closest to the second display color from the mapping table and acquires the third RGB value corresponding to the closest third display color. Due to this configuration, the display colors of the information processing terminal can be efficiently and more accurately adjusted.

Description

情報処理装置、プログラム、および方法Information processing equipment, programs, and methods
　本開示は、情報処理装置、プログラム、および方法に関する。 This disclosure relates to information processing devices, programs, and methods.
　ディスプレイを備えたスマートフォンなどの情報処理端末は多くの種類があり、各ディスプレイの特性は異なる。そのため、例えば、各情報処理端末によって同一のＲＧＢ値で色を表示しても、情報処理端末間でディスプレイ上の表示色が異なって見える場合がある。 There are many types of information processing terminals such as smartphones equipped with displays, and the characteristics of each display are different. Therefore, for example, even if colors are displayed with the same RGB values by each information processing terminal, the display colors on the display may look different between the information processing terminals.
　しかしながら、スマートフォンなどのユーザにとっては情報処理端末が異なっても同一の色は同一の表示色で表現されることが望ましい。そのため、スマートフォンなどのメーカーは、情報処理端末間の表示色の違いを極力抑えるように各情報処理端末において表示色を調整している。 However, for users such as smartphones, it is desirable that the same color is represented by the same display color even if the information processing terminals are different. Therefore, manufacturers of smartphones and the like adjust the display color of each information processing terminal so as to minimize the difference in display color between the information processing terminals.
特開２００９－１１８５３８号公報JP-A-2009-118538
　しかしながら、このような調整とは、各情報処理端末のディスプレイの表示色を測色器で計測し、基準となるマスターモニターの表示色に近くなるように、各情報処理端末の内部パラメータを手動で調整するといったマニュアル調整である。そのため、各情報処理端末の調整にコストや時間がかかる割にその精度は高いとは言い切れない。 However, such adjustment means that the display color of the display of each information processing terminal is measured by a colorimeter, and the internal parameters of each information processing terminal are manually adjusted so as to be close to the display color of the reference master monitor. It is a manual adjustment such as adjustment. Therefore, it cannot be said that the accuracy is high for the cost and time required for adjusting each information processing terminal.
　そこで、本開示では、情報処理端末の表示色の調整を効率的かつより正確に行うことができる情報処理装置、プログラム、および方法を提案する。 Therefore, this disclosure proposes an information processing device, a program, and a method capable of efficiently and more accurately adjusting the display color of the information processing terminal.
　本開示によれば、情報処理装置であって、調整対象となる第１の装置によって表示され、測色器によって計測された、第１のＲＧＢ値に対する第１の表示色を取得する第１の取得部と、第１のＲＧＢ値および第１の表示色に少なくとも基づいて、第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成する生成部と、基準となる第２の装置によって表示され、測色器によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、マッピングテーブルから第２の表示色に最も近い第３の表示色を検索して、最も近い第３の表示色に対応する第３のＲＧＢ値を取得する第２の取得部とを備えた、情報処理装置が提供される。 According to the present disclosure, a first information processing apparatus that acquires a first display color with respect to a first RGB value, which is displayed by a first apparatus to be adjusted and measured by a colorimeter. An acquisition unit, a generation unit that generates a mapping table between a third RGB value and a third display color specialized for the first device, based on at least the first RGB value and the first display color, and a generation unit. The second display color for the second RGB value, which is displayed by the reference second device and measured by the colorimeter, is acquired, and the third display color closest to the second display color is obtained from the mapping table. An information processing apparatus is provided that includes a second acquisition unit that searches for and acquires a third RGB value corresponding to the nearest third display color.
　また、本開示によれば、情報処理装置に、調整対象となる第１の装置によって表示され、測色器によって計測された、第１のＲＧＢ値に対する第１の表示色を取得し、第１のＲＧＢ値および第１の表示色に少なくとも基づいて、第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成し、基準となる第２の装置によって表示され、測色器によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、マッピングテーブルから第２の表示色に最も近い第３の表示色を検索して、最も近い第３の表示色に対応する第３のＲＧＢ値を取得する処理を実行させる、プログラムが提供される。 Further, according to the present disclosure, the information processing device acquires the first display color with respect to the first RGB value displayed by the first device to be adjusted and measured by the colorimeter, and the first display color is obtained. A mapping table between the third RGB value and the third display color specialized for the first device is generated based on at least the RGB value and the first display color of the above, and is displayed by the reference second device. The second display color for the second RGB value measured by the colorimeter is acquired, the third display color closest to the second display color is searched from the mapping table, and the closest third display color is obtained. A program is provided that executes a process of acquiring a third RGB value corresponding to the display color of.
　また、本開示によれば、情報処理装置が、調整対象となる第１の装置によって表示され、測色器によって計測された、第１のＲＧＢ値に対する第１の表示色を取得し、第１のＲＧＢ値および第１の表示色に少なくとも基づいて、第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成し、基準となる第２の装置によって表示され、測色器によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、マッピングテーブルから第２の表示色に最も近い第３の表示色を検索して、最も近い第３の表示色に対応する第３のＲＧＢ値を取得する処理を実行する、方法が提供される。 Further, according to the present disclosure, the information processing apparatus acquires the first display color with respect to the first RGB value, which is displayed by the first apparatus to be adjusted and measured by the colorimeter, and is the first. A mapping table between the third RGB value and the third display color specialized for the first device is generated based on at least the RGB value and the first display color of the above, and is displayed by the reference second device. The second display color for the second RGB value measured by the colorimeter is acquired, the third display color closest to the second display color is searched from the mapping table, and the closest third display color is obtained. A method of executing a process of acquiring a third RGB value corresponding to the display color of is provided.
本実施形態に係る情報処理装置１００の機能構成例を示すブロック図である。It is a block diagram which shows the functional structure example of the information processing apparatus 100 which concerns on this embodiment. 同実施形態に係るユーザ端末２００およびマスターモニター３００の測色の一例を示す図である。It is a figure which shows an example of the color measurement of the user terminal 200 and the master monitor 300 which concerns on the same embodiment. 同実施形態に係るユーザ端末２００のディスプレイ表示色の測色の一例を示す図である。It is a figure which shows an example of the color measurement of the display display color of the user terminal 200 which concerns on this embodiment. 同実施形態に係るＲＧＢ－ＸＹＺマッピングテーブルの生成方法の一例を示す図である。It is a figure which shows an example of the generation method of the RGB-XYZ mapping table which concerns on the same embodiment. 同実施形態に係るＲＧＢ－ＸＹＺマッピングテーブルの一例を示す図である。It is a figure which shows an example of the RGB-XYZ mapping table which concerns on the same embodiment. 同実施形態に係る３Ｄ－ＬＵＴデータの生成方法の一例を示す図である。It is a figure which shows an example of the method of generating 3D-LUT data which concerns on the same embodiment. 同実施形態に係る情報処理装置１００のハードウェア構成例を示すブロック図である。It is a block diagram which shows the hardware configuration example of the information processing apparatus 100 which concerns on this embodiment.
　以下に、本実施形態について図面に基づいて詳細に説明する。なお、本明細書および図面において、実質的に同一の部位には、同一の符号を付することにより重複する説明を省略する。 The present embodiment will be described in detail below based on the drawings. In the present specification and the drawings, substantially the same parts are designated by the same reference numerals, so that duplicate description will be omitted.
　なお、説明は以下の順序で行うものとする。
　１．実施形態
　　１．１．機能構成例
　　１．２．機能の詳細
　２．ハードウェア構成例
　３．まとめ The explanations will be given in the following order.
1. 1. Embodiment 1.1. Functional configuration example 1.2. Details of function 2. Hardware configuration example 3. summary
＜１．実施形態＞
＜＜１．１．機能構成例＞＞
　まず、本実施形態に係る情報処理装置１００の機能構成例について説明する。情報処理装置１００は、スマートフォンなどのメーカーによって管理されるサーバ装置であってもよいし、据え置き端末やノートＰＣ（Ｐｅｒｓｏｎａｌ　Ｃｏｍｐｕｔｅｒ）であってもよい。また、情報処理装置１００は、クラウドサーバ装置であってもよいし、複数台のコンピュータで構成される分散型コンピューティングシステムであってもよい。 <1. Embodiment>
<< 1.1. Function configuration example >>
First, a functional configuration example of the information processing apparatus 100 according to the present embodiment will be described. The information processing device 100 may be a server device managed by a manufacturer such as a smartphone, or may be a stationary terminal or a notebook PC (Personal Computer). Further, the information processing device 100 may be a cloud server device or a distributed computing system composed of a plurality of computers.
　図１は、本実施形態に係る情報処理装置１００の機能構成例を示すブロック図である。図１に示すように、本実施形態に係る情報処理装置１００は、記憶部１１０、取得部１２０、学習部１３０、補完部１４０、生成部１５０、通信部１６０、制御部１７０を備える。 FIG. 1 is a block diagram showing a functional configuration example of the information processing apparatus 100 according to the present embodiment. As shown in FIG. 1, the information processing apparatus 100 according to the present embodiment includes a storage unit 110, an acquisition unit 120, a learning unit 130, a complementary unit 140, a generation unit 150, a communication unit 160, and a control unit 170.
（記憶部１１０）
　本実施形態に係る記憶部１１０は、各種プログラムやデータを一時的または恒常的に記憶するための記憶領域である。記憶部１１０には、情報処理装置１００が各種機能を実行するためのプログラムやデータが記憶されてよい。具体的な一例として、記憶部１１０には、ＲＧＢ－ＸＹＺマッピングテーブルや３Ｄルックアップテーブル（３Ｄ－ＬＵＴ）データを生成するためのプログラムやデータ、ＲＧＢ－ＸＹＺマッピングテーブルを生成するための学習モデル、各種設定などを管理するための管理データなどが記憶されてよい。もちろん、上記はあくまで一例であり、記憶部１１０に記憶されるデータの種別は特に限定されない。 (Storage 110)
The storage unit 110 according to the present embodiment is a storage area for temporarily or permanently storing various programs and data. The storage unit 110 may store programs and data for the information processing device 100 to execute various functions. As a specific example, the storage unit 110 contains programs and data for generating RGB-XYZ mapping table and 3D look-up table (3D-LUT) data, and a learning model for generating RGB-XYZ mapping table. Management data for managing various settings and the like may be stored. Of course, the above is only an example, and the type of data stored in the storage unit 110 is not particularly limited.
（取得部１２０）
　本実施形態に係る取得部１２０は、表示色（例えば、ＸＹＺ値）の調整対象となるスマートフォンなどのユーザ端末２００（「第１の装置」に相当）によって表示され、測色器４００によって計測された、ＲＧＢ値（「第１のＲＧＢ値」に相当）に対する表示色（「第１の表示色」に相当）を取得する。また、取得部１２０は、表示色の基準となるマスターモニター３００（「第２の装置」に相当）によって表示され、測色器４００によって計測された、ＲＧＢ値（「第２のＲＧＢ値」に相当）に対する表示色（「第２の表示色」に相当）を取得する。また、取得部１２０は、後述する生成部１５０によって生成されたＲＧＢ－ＸＹＺマッピングテーブルからマスターモニター３００の表示色に最も近いユーザ端末２００の表示色を検索して、当該最も近い表示色に対応するＲＧＢ値を取得する。 (Acquisition unit 120)
The acquisition unit 120 according to the present embodiment is displayed by a user terminal 200 (corresponding to the "first device") such as a smartphone to which the display color (for example, XYZ value) is adjusted, and is measured by the colorimeter 400. In addition, the display color (corresponding to the "first display color") for the RGB value (corresponding to the "first RGB value") is acquired. Further, the acquisition unit 120 is displayed by the master monitor 300 (corresponding to the "second device") which is the reference of the display color, and is converted to the RGB value ("second RGB value") measured by the colorimeter 400. Acquires the display color (corresponding to the "second display color") for (corresponding). Further, the acquisition unit 120 searches for the display color of the user terminal 200 closest to the display color of the master monitor 300 from the RGB-XYZ mapping table generated by the generation unit 150 described later, and corresponds to the closest display color. Get the RGB value.
（学習部１３０）
　本実施形態に係る学習部１３０は、ユーザ端末２００に入力されたＲＧＢ値を入力とし、ユーザ端末２００に当該ＲＧＢ値を入力して出力され、測色器４００によって計測された表示色を正解とする教師データを学習して学習モデルを構築する。当該学習モデルを用いて、測色器４００によって計測されていないＲＧＢ値（「第５のＲＧＢ値」に相当）に対する表示色（「第５の表示色」に相当）を得ることができる。 (Learning Department 130)
The learning unit 130 according to the present embodiment inputs the RGB value input to the user terminal 200, inputs the RGB value to the user terminal 200 and outputs the RGB value, and sets the display color measured by the colorimeter 400 as the correct answer. Learn the teacher data to build a learning model. Using the learning model, it is possible to obtain a display color (corresponding to the "fifth display color") for an RGB value (corresponding to the "fifth RGB value") that has not been measured by the colorimeter 400.
　なお、本実施形態の学習モデルは、ユーザ端末２００に入力されたＲＧＢ値が入力される入力層と、出力層と、入力層から出力層までのいずれかの層であって出力層以外の層に属する第１要素と、第１要素と第１要素の重みとに基づいて値が算出される第２要素と、を含み、入力層に入力されたＲＧＢ値に応じて、当該ＲＧＢ値を入力した際のユーザ端末２００の表示色を出力層から出力するよう、情報処理装置１００を機能させる。 The learning model of the present embodiment is an input layer into which an RGB value input to the user terminal 200 is input, an output layer, and any layer from the input layer to the output layer, which is a layer other than the output layer. The RGB value is input according to the RGB value input to the input layer, including the first element belonging to the above and the second element whose value is calculated based on the weights of the first element and the first element. The information processing apparatus 100 is made to function so as to output the display color of the user terminal 200 at the time of the output from the output layer.
　なお、本実施形態の学習モデルを生成する生成装置（例えば、サーバ装置などの情報処理装置１００）は、いかなる学習アルゴリズムを用いて上述の学習モデルを生成してもよい。例えば、生成装置は、ニューラルネットワーク（ＮＮ：Ｎｅｕｒａｌ　Ｎｅｔｗｏｒｋ）、サポートベクターマシン（ＳＶＭ：Ｓｕｐｐｏｒｔ　Ｖｅｃｔｏｒ　Ｍａｃｈｉｎｅ）、強化学習などの学習アルゴリズムを用いて本実施形態の学習モデルを生成してもよい。一例として、生成装置がＮＮを用いて本実施形態の学習モデルを生成するとする。この場合、学習モデルは、１つ以上のニューロンを含む入力層と、１つ以上のニューロンを含む中間層と、１つ以上のニューロンを含む出力層とを有していてもよい。 The generation device (for example, the information processing device 100 such as the server device) that generates the learning model of the present embodiment may use any learning algorithm to generate the above-mentioned learning model. For example, the generation device may generate the learning model of the present embodiment by using a learning algorithm such as a neural network (NN: Neural Network), a support vector machine (SVM: Support Vector Machine), or reinforcement learning. As an example, suppose that the generator uses NN to generate the learning model of the present embodiment. In this case, the learning model may have an input layer containing one or more neurons, an intermediate layer containing one or more neurons, and an output layer containing one or more neurons.
　ここで、本実施形態に係る学習モデルが「ｙ＝ａ１＊ｘ１＋ａ２＊ｘ２＋・・・＋ａｉ＊ｘｉ」で示す回帰モデルで実現されるとする。この場合、学習モデルが含む第１要素は、ｘ１やｘ２などといった入力データ（ｘｉ）に対応する。また、第１要素の重みは、ｘｉに対応する係数ａｉに対応する。ここで、回帰モデルは、入力層と出力層とを有する単純パーセプトロンとみなすことができる。各モデルを単純パーセプトロンとみなした場合、第１要素は、入力層が有するいずれかのノードに対応し、第２要素は、出力層が有するノードとみなすことができる。 Here, it is assumed that the learning model according to the present embodiment is realized by the regression model represented by "y = a 1 * x 1 + a 2 * x 2 + ... + a i * x i". In this case, the first element learning model contains corresponds to the input data such as x 1 and x 2 (x i). The weight of the first component corresponds to the coefficients a i corresponding to x i. Here, the regression model can be regarded as a simple perceptron having an input layer and an output layer. When each model is regarded as a simple perceptron, the first element corresponds to any node of the input layer, and the second element can be regarded as the node of the output layer.
　また、本実施形態に係る学習モデルがＤＮＮ（Ｄｅｅｐ　Ｎｅｕｒａｌ　Ｎｅｔｗｏｒｋ）など、１つまたは複数の中間層を有するＮＮで実現されるとする。この場合、学習モデルが含む第１要素は、入力層または中間層が有するいずれかのノードに対応する。また、第２要素は、第１要素と対応するノードから値が伝達されるノードである次段のノードに対応する。また、第１要素の重みは、第１要素と対応するノードから第２要素と対応するノードに伝達される値に対して考慮される重みである接続係数に対応する。 Further, it is assumed that the learning model according to the present embodiment is realized by an NN having one or more intermediate layers such as a DNN (Deep Neural Network). In this case, the first element included in the learning model corresponds to either the node of the input layer or the intermediate layer. Further, the second element corresponds to a node in the next stage, which is a node to which a value is transmitted from a node corresponding to the first element. Further, the weight of the first element corresponds to a connection coefficient which is a weight considered for the value transmitted from the node corresponding to the first element to the node corresponding to the second element.
　上述した回帰モデルやＮＮなど、任意の構造を有する学習モデルを用いて、任意のＲＧＢ値を入力した際のユーザ端末２００の表示色を算出する。より具体的には、学習モデルは、任意のＲＧＢ値が入力された場合に、当該ＲＧＢ値を入力した際のユーザ端末２００の表示色を出力するように係数が設定される。本実施形態に係る学習モデルは、データの入出力を繰り返すことで得られる結果に基づいて生成されるモデルであってもよい。 Using a learning model having an arbitrary structure such as the regression model and NN described above, the display color of the user terminal 200 when an arbitrary RGB value is input is calculated. More specifically, in the learning model, when an arbitrary RGB value is input, a coefficient is set so as to output the display color of the user terminal 200 when the RGB value is input. The learning model according to the present embodiment may be a model generated based on the result obtained by repeating the input / output of data.
　なお、上記例では、本実施形態に係る学習モデルが、任意のＲＧＢ値が入力された場合に、当該ＲＧＢ値を入力した際のユーザ端末２００の表示色を出力するモデル（モデルＡとする）である例を示した。しかしながら、本実施形態に係る学習モデルは、モデルＡに対しデータの入出力を繰り返すことで得られる結果に基づいて生成されるモデルであってもよい。例えば、本実施形態に係る学習モデルは、任意のＲＧＢ値を入力とし、モデルＡが出力する当該ＲＧＢ値を入力した際のユーザ端末２００の表示色を出力とする学習モデル（モデルＢとする）であってもよい。または、本実施形態に係る学習モデルは、任意のＲＧＢ値を入力とし、モデルＢが出力する当該ＲＧＢ値を入力した際のユーザ端末２００の表示色を出力とする学習モデルであってもよい。 In the above example, the learning model according to the present embodiment is a model (referred to as model A) that outputs the display color of the user terminal 200 when an arbitrary RGB value is input when the RGB value is input. An example is shown. However, the learning model according to the present embodiment may be a model generated based on the result obtained by repeating the input / output of data to the model A. For example, the learning model according to the present embodiment is a learning model (referred to as model B) in which an arbitrary RGB value is input and the display color of the user terminal 200 when the RGB value output by the model A is input is output. It may be. Alternatively, the learning model according to the present embodiment may be a learning model in which an arbitrary RGB value is input and the display color of the user terminal 200 when the RGB value output by the model B is input is output.
（補完部１４０）
　本実施形態に係る補完部１４０は、ユーザ端末２００に入力されたＲＧＢ値と、ユーザ端末２００に当該ＲＧＢ値を入力して出力され、測色器４００によって計測された表示色とに基づいて、測色器４００によって計測されていないＲＧＢ値（「第５のＲＧＢ値」に相当）に対する表示色（「第５の表示色」に相当）を補完する。 (Complementary part 140)
The complementary unit 140 according to the present embodiment is based on the RGB value input to the user terminal 200 and the display color obtained by inputting the RGB value to the user terminal 200 and being output and measured by the colorimeter 400. It complements the display color (corresponding to the "fifth display color") for the RGB value (corresponding to the "fifth RGB value") not measured by the colorimeter 400.
（生成部１５０）
　本実施形態に係る生成部１５０は、ユーザ端末２００に入力されたＲＧＢ値と、ユーザ端末２００に当該ＲＧＢ値を入力して出力され、測色器４００によって計測された表示色とに基づいて、ユーザ端末２００に特化したＲＧＢ値（「第３のＲＧＢ値」に相当）と表示色（「第３の表示色」に相当）とのマッピングテーブルを生成する。また、生成部は、取得部１２０によって取得されたマスターモニター３００の表示色に最も近いユーザ端末２００の表示色に対応するＲＧＢ値と、マスターモニター３００に入力されたＲＧＢ値とに基づいて、３Ｄ－ＬＵＴデータを生成する。当該３Ｄ－ＬＵＴデータは、ユーザ端末２００用の３Ｄ－ＬＵＴを生成または更新するためのものである。また、当該３Ｄ－ＬＵＴは、ユーザ端末２００のディスプレイパネルの表示色を調整するためのものである。 (Generator 150)
The generation unit 150 according to the present embodiment is based on the RGB value input to the user terminal 200 and the display color that is output by inputting the RGB value to the user terminal 200 and measured by the colorimeter 400. A mapping table of RGB values (corresponding to "third RGB value") and display colors (corresponding to "third display color") specialized for the user terminal 200 is generated. Further, the generation unit is 3D based on the RGB value corresponding to the display color of the user terminal 200 closest to the display color of the master monitor 300 acquired by the acquisition unit 120 and the RGB value input to the master monitor 300. -Generate LUT data. The 3D-LUT data is for generating or updating a 3D-LUT for the user terminal 200. Further, the 3D-LUT is for adjusting the display color of the display panel of the user terminal 200.
（通信部１６０）
　本実施形態に係る通信部１６０は、インターネットなどの各種通信網と有線または無線で接続され、ネットワーク上の他の情報処理装置などとの間で情報の送受信を行う。例えば、通信部１６０は、測色器４００によって計測された、ユーザ端末２００やマスターモニター３００の各表示色や、当該各表示色を表示するためにユーザ端末２００やマスターモニター３００に入力された各ＲＧＢ値を、測色器４００などから受信する。また、通信部１６０は、生成部１５０によって生成された３Ｄ－ＬＵＴデータを、ユーザ端末２００などに送信する。 (Communication unit 160)
The communication unit 160 according to the present embodiment is connected to various communication networks such as the Internet by wire or wirelessly, and transmits / receives information to / from other information processing devices on the network. For example, the communication unit 160 may display the display colors of the user terminal 200 and the master monitor 300 measured by the colorimeter 400, and each of the display colors input to the user terminal 200 and the master monitor 300 in order to display the display colors. The RGB value is received from the colorimeter 400 or the like. Further, the communication unit 160 transmits the 3D-LUT data generated by the generation unit 150 to the user terminal 200 or the like.
（制御部１７０）
　本実施形態に係る制御部１７０は、情報処理装置１００全体を司る処理部であり、情報処理装置１００が備える各構成を制御する。制御部１７０が有する機能の詳細については後述される。 (Control unit 170)
The control unit 170 according to the present embodiment is a processing unit that controls the entire information processing device 100, and controls each configuration included in the information processing device 100. Details of the function of the control unit 170 will be described later.
　以上、本実施形態に係る情報処理装置１００の機能構成例について説明した。なお、図１を用いて説明した上記の機能構成はあくまで一例であり、本実施形態に係る情報処理装置１００の機能構成は係る例に限定されない。例えば、情報処理装置１００は、必ずしも図１に示す構成のすべてを備えなくてもよいし、学習部１３０などの各構成を情報処理装置１００とは異なる別の装置に備えることも可能である。本実施形態に係る情報処理装置１００の機能構成は、仕様や運用に応じて柔軟に変形可能である。 The functional configuration example of the information processing device 100 according to the present embodiment has been described above. The above-mentioned functional configuration described with reference to FIG. 1 is merely an example, and the functional configuration of the information processing apparatus 100 according to the present embodiment is not limited to such an example. For example, the information processing device 100 does not necessarily have all of the configurations shown in FIG. 1, and each configuration such as the learning unit 130 may be provided in another device different from the information processing device 100. The functional configuration of the information processing apparatus 100 according to the present embodiment can be flexibly modified according to specifications and operations.
　また、各構成要素の機能を、ＣＰＵ（Ｃｅｎｔｒａｌ　Ｐｒｏｃｃｅｓｓｉｎｇ　Ｕｎｉｔ）などの演算装置がこれらの機能を実現する処理手順を記述した制御プログラムを記憶したＲＯＭ（Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）やＲＡＭ（Ｒａｎｄｏｍ　Ａｃｃｅｓｓ　Ｍｅｍｏｒｙ）などの記憶媒体から制御プログラムを読み出し、そのプログラムを解釈して実行することにより行ってもよい。従って、本実施形態を実施する時々の技術レベルに応じて、適宜利用する構成を変更することが可能である。また、情報処理装置１００のハードウェア構成の一例については後述される。 In addition, the functions of each component are stored in a ROM (Read Only Memory), RAM (Random Access Memory), etc., which stores a control program in which an arithmetic unit such as a CPU (Central Processing Unit) describes a processing procedure for realizing these functions. This may be performed by reading the control program from the storage medium of the above, interpreting the program, and executing the program. Therefore, it is possible to appropriately change the configuration to be used according to the technical level at each time when the present embodiment is implemented. An example of the hardware configuration of the information processing apparatus 100 will be described later.
＜＜１．２．機能の詳細＞＞
　次に、本実施形態に係る情報処理装置１００が有する機能について詳細に説明する。まず、本実施形態は、ユーザ端末２００のディスプレイパネルに表示される表示色を、基準となるマスターモニター３００の表示色に近づけるように調整するために行われる。表示色が近いか否かの判断は、各装置のディスプレイパネルの表示色を測色器４００によって測色し、出力されるＸＹＺ値を用いて行われる。 << 1.2. Function details >>
Next, the functions of the information processing apparatus 100 according to the present embodiment will be described in detail. First, the present embodiment is performed in order to adjust the display color displayed on the display panel of the user terminal 200 so as to be close to the display color of the reference master monitor 300. Whether or not the display colors are close to each other is determined by measuring the display color of the display panel of each device with the colorimeter 400 and using the output XYZ value.
　図２は、本実施形態に係るユーザ端末２００およびマスターモニター３００の測色の一例を示す図である。図２に示すように、ユーザ端末２００およびマスターモニター３００に同一のＲＧＢ値（信号）を入力し、各装置のディスプレイパネルに表示される表示色を測色器４００で測色する。測色した結果得られるマスターモニター３００のＸＹＺ値に、ユーザ端末２００のＸＹＺ値を近づけるようにユーザ端末２００の表示色の調整を行う。 FIG. 2 is a diagram showing an example of color measurement of the user terminal 200 and the master monitor 300 according to the present embodiment. As shown in FIG. 2, the same RGB values (signals) are input to the user terminal 200 and the master monitor 300, and the display color displayed on the display panel of each device is measured by the colorimeter 400. The display color of the user terminal 200 is adjusted so that the XYZ value of the user terminal 200 is close to the XYZ value of the master monitor 300 obtained as a result of color measurement.
　なお、各装置の表示色の測色は、図３に示すように行われる。図３は、本実施形態に係るユーザ端末２００のディスプレイ表示色の測色の一例を示す図である。図３の例では、ユーザ端末２００のディスプレイパネルの表示色を測色器４００によって測色することを示している。図３に示すように、測色結果に影響する周囲の光が入らないように、ユーザ端末２００のディスプレイパネルを測色器４００によって接写して測色し、ユーザ端末２００のＸＹＺ値を得る。マスターモニター３００も同様である。 The display color of each device is measured as shown in FIG. FIG. 3 is a diagram showing an example of color measurement of the display display color of the user terminal 200 according to the present embodiment. In the example of FIG. 3, it is shown that the display color of the display panel of the user terminal 200 is measured by the colorimeter 400. As shown in FIG. 3, the display panel of the user terminal 200 is taken close-up by the colorimeter 400 to measure the color so that the ambient light that affects the color measurement result does not enter, and the XYZ value of the user terminal 200 is obtained. The same applies to the master monitor 300.
　次に、図４を用いて、ユーザ端末２００のＲＧＢ値とＸＹＺ値とのマッピングテーブルの生成方法について説明する。図４は、本実施形態に係るＲＧＢ－ＸＹＺマッピングテーブルの生成方法の一例を示す図である。本実施形態に係る情報処理装置１００の制御部１７０は、表示色の調整対象となるユーザ端末２００に入力されるＲＧＢ値と、当該ＲＧＢ値に対応してディスプレイパネルに出力される表示色（ＸＹＺ値）とのマッピングテーブルを生成することを特徴の１つとする。 Next, a method of generating a mapping table between the RGB value and the XYZ value of the user terminal 200 will be described with reference to FIG. FIG. 4 is a diagram showing an example of a method for generating an RGB-XYZ mapping table according to the present embodiment. The control unit 170 of the information processing apparatus 100 according to the present embodiment has an RGB value input to the user terminal 200 whose display color is to be adjusted and a display color (XYZ) output to the display panel corresponding to the RGB value. One of the features is to generate a mapping table with (value).
　図４に示すように、ＲＧＢ値をユーザ端末２００に入力すると、入力されたＲＧＢ値は、ユーザ端末２００に記憶された３Ｄ－ＬＵＴによって調整される。当該３Ｄ－ＬＵＴは、入力されたＲＧＢ値をユーザ端末２００のディスプレイパネルに適したＲＧＢ値に調整して、ディスプレイパネルごとの表示色のばらつきを抑えるものである。そのため、３Ｄ－ＬＵＴは、ディスプレイパネルごとに内部パラメータ（設定されるＲＧＢ値）が異なる。 As shown in FIG. 4, when the RGB value is input to the user terminal 200, the input RGB value is adjusted by the 3D-LUT stored in the user terminal 200. The 3D-LUT adjusts the input RGB value to an RGB value suitable for the display panel of the user terminal 200, and suppresses variation in display color for each display panel. Therefore, the internal parameters (set RGB values) of the 3D-LUT are different for each display panel.
　３Ｄ－ＬＵＴによって調整されたＲＧＢ値はディスプレイパネルを介して色として表示される。この表示色を測色器４００で測色し、ＸＹＺ値を得る。そして、ディスプレイパネルで表示できる色数分、ユーザ端末２００に入力されるＲＧＢ値と、得られたＸＹＺ値とを対応付けることにより、情報処理装置１００は、ＲＧＢ－ＸＹＺマッピングテーブルを生成することができる。図５は、本実施形態に係るＲＧＢ－ＸＹＺマッピングテーブルの一例を示す図である。図５の例は、ＲＧＢ各色１０ｂｉｔに対応するディスプレイパネルに特化したＲＧＢ－ＸＹＺマッピングテーブルであり、１０２４×１０２４×１０２４の約１０億色分の各ＲＧＢ値と、対応するＸＹＺ値とが関連付けられている。 The RGB values adjusted by the 3D-LUT are displayed as colors via the display panel. This display color is measured by the colorimeter 400 to obtain an XYZ value. Then, the information processing apparatus 100 can generate an RGB-XYZ mapping table by associating the RGB values input to the user terminal 200 with the obtained XYZ values for the number of colors that can be displayed on the display panel. .. FIG. 5 is a diagram showing an example of an RGB-XYZ mapping table according to the present embodiment. The example of FIG. 5 is an RGB-XYZ mapping table specialized for a display panel corresponding to 10 bits of each RGB color, and each RGB value of about 1 billion colors of 1024 × 1024 × 1024 is associated with the corresponding XYZ value. Has been done.
　ここで、例えば、ディスプレイパネルがＲＧＢ各色８ｂｉｔに対応したものである場合、各色２５６階調で表現できるため、ディスプレイパネルで表示できる色数は、２５６×２５６×２５６の約１６７７万色である。そのため、ＲＧＢ－ＸＹＺマッピングテーブルを生成するためには、約１６７７万色（１０ｂｉｔの場合は上述したように約１０億色）という膨大な量の測色を行って各色に対応するＸＹＺ値を得る必要がある。そこで、次のように、各ＲＧＢ値の最大値を所定の間隔で割って測色する色数を絞り、測色していない色のＸＹＺ値を補完方法や学習モデルを用いて得る方法を説明する。 Here, for example, when the display panel corresponds to 8 bits for each RGB color, each color can be expressed in 256 gradations, so that the number of colors that can be displayed on the display panel is 256 × 256 × 256, which is about 16.77 million colors. Therefore, in order to generate an RGB-XYZ mapping table, an enormous amount of color measurement of about 16.77 million colors (about 1 billion colors as described above in the case of 10 bits) is performed to obtain an XYZ value corresponding to each color. There is a need. Therefore, as follows, a method of dividing the maximum value of each RGB value by a predetermined interval to narrow down the number of colors to be measured and obtaining an XYZ value of a color not measured by using a complement method or a learning model will be described. do.
　まず、例えば、各ＲＧＢ値を１９分割し、（Ｒ、Ｇ、Ｂ）＝（０、０、０）、（０、０、１３）、（０、０、２７）、（０、０、４０）・・・（２５５、２５５、２２９）、（２５５、２５５、２４２）、（２５５、２５５、２５５）といったように、各２０色ずつ、２０×２０×２０の８０００色を測色する。 First, for example, each RGB value is divided into 19 and (R, G, B) = (0, 0, 0), (0, 0, 13), (0, 0, 27), (0, 0, 40). ) ... (255, 255, 229), (255, 255, 242), (255, 255, 255), etc., 20 colors each, 8000 colors of 20 × 20 × 20 are measured.
　また、人間の目は暗色に敏感であるため、暗色（例えば、ＲＧＢ値の各値が４０以下）をさらに重点的に測色することもできる。例えば、４０以下の各ＲＧＢ値を２１分割し、（Ｒ、Ｇ、Ｂ）＝（０、０、０）、（０、０、２）、（０、０、４）・・・（４０、４０、３６）、（４０、４０、３８）、（４０、４０、４０）といったように、各２１色ずつ、２１×２１×２１の９２６１色をさらに測色する。 Further, since the human eye is sensitive to dark colors, dark colors (for example, each RGB value is 40 or less) can be measured more intensively. For example, each RGB value of 40 or less is divided into 21 and (R, G, B) = (0, 0, 0), (0, 0, 2), (0, 0, 4) ... (40, 2161 colors of 21 × 21 × 21 are further measured, such as 40, 36), (40, 40, 38), (40, 40, 40).
　このように、８０００色＋９２６１色の約２万色を測色し、各色に対応するＸＹＺ値を得る。そして、測色した約２万色のＲＧＢ値と対応するＸＹＺ値を用いて、測色していないＲＧＢ値に対応するＸＹＺ値を、例えば、以下のような補完方法や学習モデルにより得る。具体的な補完方法の一例は、例えば、テトラヘドラル補完や多項式近似、上述したＤＮＮであってよい。 In this way, about 20,000 colors of 8000 colors + 9261 colors are measured, and the XYZ value corresponding to each color is obtained. Then, using the XYZ values corresponding to the RGB values of about 20,000 colors measured, the XYZ values corresponding to the RGB values not measured are obtained by, for example, the following complementation method or learning model. An example of a specific completion method may be, for example, tetrahedral completion, polynomial approximation, or the above-mentioned DNN.
　テトラヘドラル補完は、補完対象の点に近い８点から形作られる立方体を、６つの四面体に領域分割し、補完対象の点が所属する四面体の各点の値から補完を行う手法である。なお、テトラヘドラル補完に使用する値の座標は等間隔でなければならない。そのため、格子点２０点で分割した８０００色と、格子点２１点で分割した９２６１色は別々に補完の計算を行う必要がある。そこで、ＲＧＢ値のすべてが４０以下の色であれば９２６１色、その他の色であれば８０００色のＸＹＺ値を使用した補完式で測色していない色のＸＹＺ値を求める。 Tetrahedral complementation is a method in which a cube formed from eight points close to the point to be complemented is divided into six tetrahedrons, and complementation is performed from the value of each point of the tetrahedron to which the point to be complemented belongs. The coordinates of the values used for tetrahedral complementation must be evenly spaced. Therefore, it is necessary to separately perform complementary calculations for 8000 colors divided by 20 grid points and 9261 colors divided by 21 grid points. Therefore, if all of the RGB values are 40 or less, 9261 colors are used, and if the other colors are 8000 colors, the XYZ values of the unmeasured colors are obtained by a complementary formula.
　多項式近似は、測色した色のＲＧＢ値およびＸＹＺ値から多項式を得て、当該多項式を用いて、求めるＲＧＢ値から対応するＸＹＺを算出する。多項式のパラメータの推定には、非線形最小二乗問題の最適値探索アルゴリズムであるＬｅｖｅｎｂｅｒｇ－Ｍａｒｑｕａｒｄｔ法などを使用することができる。 In polynomial approximation, a polynomial is obtained from the RGB value and XYZ value of the measured color, and the corresponding XYZ is calculated from the obtained RGB value using the polynomial. The Levenberg-Marquardt method, which is an optimal value search algorithm for the nonlinear least squares problem, can be used for estimating the parameters of the polynomial.
　ＤＮＮは、測色した色のＲＧＢ値を入力、対応するＸＹＺ値を正解とする教師データを学習して学習モデルを構築する。なお、この場合の学習モデルを、Ｘ、Ｙ、Ｚの値のそれぞれで構築し、Ｘ、Ｙ、Ｚの各値を別々に予測することもできる。 DNN inputs the RGB value of the measured color and learns the teacher data with the corresponding XYZ value as the correct answer to build a learning model. The learning model in this case can be constructed with the values of X, Y, and Z, and the values of X, Y, and Z can be predicted separately.
　このように、測色していないＲＧＢ値に対応するＸＹＺ値を補完方法や学習モデルにより得ることで、ディスプレイパネルに表示できるすべての色を測色することなく、ＲＧＢ－ＸＹＺマッピングテーブルを生成することができる。 In this way, by obtaining the XYZ values corresponding to the RGB values that have not been measured by the complement method or the learning model, the RGB-XYZ mapping table is generated without measuring all the colors that can be displayed on the display panel. be able to.
　次に、図６を用いて、ユーザ端末２００のＲＧＢ－ＸＹＺマッピングテーブルを用いて、３Ｄ－ＬＵＴデータを生成する方法について説明する。図６は、本実施形態に係る３Ｄ－ＬＵＴデータの生成方法の一例を示す図である。本実施形態に係る情報処理装置１００の制御部１７０は、ユーザ端末２００のＲＧＢ値とＸＹＺ値とのＲＧＢ－ＸＹＺマッピングテーブルを用いて、ユーザ端末２００用の３Ｄ－ＬＵＴを生成または更新するための３Ｄ－ＬＵＴデータを生成することを特徴の１つとする。 Next, a method of generating 3D-LUT data will be described with reference to FIG. 6 using the RGB-XYZ mapping table of the user terminal 200. FIG. 6 is a diagram showing an example of a method for generating 3D-LUT data according to the present embodiment. The control unit 170 of the information processing apparatus 100 according to the present embodiment is for generating or updating a 3D-LUT for the user terminal 200 by using the RGB-XYZ mapping table of the RGB value and the XYZ value of the user terminal 200. One of the features is to generate 3D-LUT data.
　図６に示すように、表示色の基準となるマスターモニター３００にＲＧＢ値（「元ＲＧＢ値」とする）を入力し、表示される色を測色器４００で測色し、ＸＹＺ値を得る。次に、表示色の調整対象となるユーザ端末２００のＲＧＢ－ＸＹＺマッピングテーブルから、得られたＸＹＺ値に最も近いユーザ端末２００のＸＹＺ値を検索し、検索したＸＹＺ値に対応するＲＧＢ値（「対応ＲＧＢ値」とする）を取得する。 As shown in FIG. 6, an RGB value (referred to as “original RGB value”) is input to the master monitor 300 which is a reference of the display color, and the displayed color is measured by the colorimeter 400 to obtain the XYZ value. .. Next, the RGB-XYZ mapping table of the user terminal 200 whose display color is to be adjusted is searched for the XYZ value of the user terminal 200 closest to the obtained XYZ value, and the RGB value corresponding to the searched XYZ value ("" Corresponding RGB value ") is acquired.
　ここで、最も近いＸＹＺ値の検索には、ＸＹＺ色空間とＬａｂ色空間の２種類の色空間と、ＤｅｌｔａＥと呼ばれる色差を求める数値を用いて、色空間での色の距離が最も近い（色差が小さい）ＸＹＺ値を検索する。 Here, in order to search for the closest XYZ value, two types of color spaces, an XYZ color space and a Lab color space, and a numerical value for obtaining a color difference called DeltaE are used, and the color distance in the color space is the shortest (color difference). Is small) Search for XYZ values.
　まず、ＸＹＺ色空間およびＬａｂ色空間の２種類の色空間で、ＲＧＢ－ＸＹＺマッピングテーブルの各ＸＹＺ値と、検索対象のＸＹＺ値とを比較し、最も近いＸＹＺ値を検索する。色空間での色の比較は、各要素値の絶対値差分の合計が最も小さい色を、最も近い色とする。そのため、例えば、色１（Ｘ１、Ｙ１、Ｚ１）と、色２（Ｘ２、Ｙ２、Ｚ２）をＸＹＺ色空間で比較する場合、各要素値の絶対値差分の合計は、｜Ｘ１－Ｘ２｜＋｜Ｙ１－Ｙ２｜＋｜Ｚ１－Ｚ２｜となる。この値が最も小さくなる色を、ＲＧＢ－ＸＹＺマッピングテーブルから検索する。 First, in two types of color spaces, the XYZ color space and the Lab color space, each XYZ value in the RGB-XYZ mapping table is compared with the XYZ value to be searched, and the closest XYZ value is searched. In the color comparison in the color space, the color having the smallest total absolute value difference of each element value is set as the closest color. Therefore, for example, when comparing color 1 (X1, Y1, Z1) and color 2 (X2, Y2, Z2) in the XYZ color space, the sum of the absolute value differences of each element value is | X1-X2 | +. | Y1-Y2 | + | Z1-Z2 | The color with the smallest value is searched from the RGB-XYZ mapping table.
　次に、ＸＹＺ色空間で最も近い色と、Ｌａｂ色空間で最も近い色について、検索対象のＸＹＺ値とのＤｅｌｔａＥを比較し、小さい方を最も近いＸＹＺ値として採用し、ＲＧＢ－ＸＹＺマッピングテーブルから、採用されたＸＹＺ値に対応するＲＧＢ値を取得する。 Next, for the color closest to the XYZ color space and the color closest to the Lab color space, DeltaE is compared with the XYZ value to be searched, and the smaller one is adopted as the closest XYZ value from the RGB-XYZ mapping table. , Acquire the RGB value corresponding to the adopted XYZ value.
　そして、ＲＧＢ－ＸＹＺマッピングテーブルから取得されたＲＧＢ値が、マスターモニター３００での元ＲＧＢ値の表示色に最も近くなるユーザ端末２００の表示色に対応したＲＧＢ値となる。そのため、ユーザ端末２００に元ＲＧＢ値が入力された場合に対応ＲＧＢ値に変換することにより、ユーザ端末２００のディスプレイを介した表示色は、表示色の基準となるマスターモニター３００の表示色と近似するようになる。 Then, the RGB value acquired from the RGB-XYZ mapping table becomes the RGB value corresponding to the display color of the user terminal 200 that is closest to the display color of the original RGB value on the master monitor 300. Therefore, when the original RGB value is input to the user terminal 200, the display color through the display of the user terminal 200 is approximated to the display color of the master monitor 300, which is a reference of the display color, by converting the original RGB value into the corresponding RGB value. Will come to do.
　そこで、各色の元ＲＧＢ値および対応ＲＧＢ値を用いて３Ｄ－ＬＵＴデータを生成し、３Ｄ－ＬＵＴデータに基づいて、ユーザ端末２００の３Ｄ－ＬＵＴを生成、または既に存在する場合は更新することにより、ユーザ端末２００の表示色を、基準となるマスターモニター３００の表示色に合わせて調整することができる。このようなマスターモニター３００の表示色に合わせる調整を、様々なユーザ端末２００で行うことにより、ユーザ端末２００間の表示色のばらつきを抑えることができる。 Therefore, 3D-LUT data is generated using the original RGB value and the corresponding RGB value of each color, and the 3D-LUT of the user terminal 200 is generated based on the 3D-LUT data, or if it already exists, it is updated. , The display color of the user terminal 200 can be adjusted according to the display color of the reference master monitor 300. By making such adjustments to match the display color of the master monitor 300 on the various user terminals 200, it is possible to suppress variations in the display colors between the user terminals 200.
　なお、３Ｄ－ＬＵＴデータも、ユーザ端末２００の表示色の数分（例えば、ＲＧＢ各色８ｂｉｔ対応の場合、約１６７７万色）生成すると膨大な量の測色を行うことになるため、色数を絞って生成することができる。 If 3D-LUT data is generated for the number of display colors of the user terminal 200 (for example, about 16.77 million colors in the case of supporting 8 bits for each RGB color), an enormous amount of color measurement will be performed. It can be squeezed and generated.
　例えば、各ＲＧＢ値を１７分割し、（Ｒ、Ｇ、Ｂ）＝（０、０、０）、（０、０、１６）、（０、０、３２）、（０、０、４８）・・・（２５５、２５５、２２３）、（２５５、２５５、２３９）、（２５５、２５５、２５５）といったように、各１７色ずつ、１７×１７×１７の４９１３色分の３Ｄ－ＬＵＴデータを生成する。 For example, each RGB value is divided into 17, and (R, G, B) = (0, 0, 0), (0, 0, 16), (0, 0, 32), (0, 0, 48).・ ・ Generates 3D-LUT data for 4913 colors of 17 × 17 × 17 for each of 17 colors such as (255, 255, 223), (255, 255, 239), (255, 255, 255). do.
　このように、４９１３色分の３Ｄ－ＬＵＴデータに基づいて１７×１７×１７の３Ｄ－ＬＵＴを生成または更新する。そして、上述した補完方法などを用いて、生成していない３Ｄ－ＬＵＴパラメータを、生成した４９１３色分の３Ｄ－ＬＵＴパラメータから補完することにより得ることができる。 In this way, a 17 × 17 × 17 3D-LUT is generated or updated based on the 3D-LUT data for 4913 colors. Then, it can be obtained by complementing the ungenerated 3D-LUT parameters from the generated 3D-LUT parameters for 4913 colors by using the complementing method or the like described above.
＜２．ハードウェア構成例＞
　次に、本実施形態に係る情報処理装置１００のハードウェア構成例について説明する。図７は、本実施形態に係る情報処理装置１００のハードウェア構成例を示すブロック図である。図７を参照すると、情報処理装置１００は、例えば、プロセッサ８０１と、ＲＯＭ８０２と、ＲＡＭ８０３と、ホストバス８０４と、ブリッジ８０５と、外部バス８０６と、インターフェース８０７と、入力装置８０８と、出力装置８０９と、ストレージ８１０と、ドライブ８１１と、接続ポート８１２と、通信装置８１３と、を有する。なお、ここで示すハードウェア構成は一例であり、構成要素の一部が省略されてもよい。また、ここで示される構成要素以外の構成要素をさらに含んでもよい。 <2. Hardware configuration example>
Next, a hardware configuration example of the information processing apparatus 100 according to the present embodiment will be described. FIG. 7 is a block diagram showing a hardware configuration example of the information processing apparatus 100 according to the present embodiment. Referring to FIG. 7, the information processing device 100 includes, for example, a processor 801 and a ROM 802, a RAM 803, a host bus 804, a bridge 805, an external bus 806, an interface 807, an input device 808, and an output device 809. A storage 810, a drive 811 and a connection port 812, and a communication device 813. The hardware configuration shown here is an example, and some of the components may be omitted. Further, components other than the components shown here may be further included.
（プロセッサ８０１）
　プロセッサ８０１は、例えば、演算処理装置または制御装置として機能し、ＲＯＭ８０２、ＲＡＭ８０３、ストレージ８１０、またはリムーバブル記録媒体９０１に記録された各種プログラムに基づいて各構成要素の動作全般またはその一部を制御する。 (Processor 801)
The processor 801 functions as, for example, an arithmetic processing unit or a control device, and controls all or a part of the operation of each component based on various programs recorded in the ROM 802, RAM 803, storage 810, or removable recording medium 901. ..
（ＲＯＭ８０２、ＲＡＭ８０３）
　ＲＯＭ８０２は、プロセッサ８０１に読み込まれるプログラムや演算に用いるデータなどを格納する手段である。ＲＡＭ８０３には、例えば、プロセッサ８０１に読み込まれるプログラムや、そのプログラムを実行する際に適宜変化する各種パラメータなどが一時的または永続的に格納される。 (ROM802, RAM803)
The ROM 802 is a means for storing a program read into the processor 801 and data used for calculation. The RAM 803 temporarily or permanently stores, for example, a program read into the processor 801 and various parameters that change as appropriate when the program is executed.
（ホストバス８０４、ブリッジ８０５、外部バス８０６、インターフェース８０７）
　プロセッサ８０１、ＲＯＭ８０２、ＲＡＭ８０３は、例えば、高速なデータ伝送が可能なホストバス８０４を介して相互に接続される。一方、ホストバス８０４は、例えば、ブリッジ８０５を介して比較的データ伝送速度が低速な外部バス８０６に接続される。また、外部バス８０６は、インターフェース８０７を介して種々の構成要素と接続される。 (Host bus 804, Bridge 805, External bus 806, Interface 807)
The processors 801, ROM 802, and RAM 803 are connected to each other via, for example, a host bus 804 capable of high-speed data transmission. On the other hand, the host bus 804 is connected to the external bus 806, which has a relatively low data transmission speed, via, for example, the bridge 805. Further, the external bus 806 is connected to various components via the interface 807.
（入力装置８０８）
　入力装置８０８には、例えば、マウス、キーボード、タッチパネル、ボタン、スイッチ、およびレバーなどが用いられる。さらに、入力装置８０８としては、赤外線やその他の電波を利用して制御信号を送信することが可能なリモートコントローラ（以下、リモコン）が用いられることもある。また、入力装置８０８には、マイクロフォンなどの音声入力装置が含まれる。 (Input device 808)
For the input device 808, for example, a mouse, a keyboard, a touch panel, buttons, switches, levers, and the like are used. Further, as the input device 808, a remote controller (hereinafter referred to as a remote controller) capable of transmitting a control signal using infrared rays or other radio waves may be used. Further, the input device 808 includes a voice input device such as a microphone.
（出力装置８０９）
　出力装置８０９は、例えば、ＣＲＴ（Ｃａｔｈｏｄｅ　Ｒａｙ　Ｔｕｂｅ）、ＬＣＤ、または有機ＥＬなどのディスプレイ装置、スピーカ、ヘッドホンなどのオーディオ出力装置、プリンタ、携帯電話、またはファクシミリなど、取得した情報を利用者に対して視覚的または聴覚的に通知することが可能な装置である。また、本実施形態に係る出力装置８０９は、触覚刺激を出力することが可能な種々の振動デバイスを含む。 (Output device 809)
The output device 809 provides the user with acquired information such as a display device such as a CRT (Cathode Ray Tube), an LCD, or an organic EL, an audio output device such as a speaker or headphones, a printer, a mobile phone, or a facsimile. It is a device that can notify visually or audibly. Further, the output device 809 according to the present embodiment includes various vibration devices capable of outputting tactile stimuli.
（ストレージ８１０）
　ストレージ８１０は、各種のデータを格納するための装置である。ストレージ８１０としては、例えば、ハードディスクドライブ（ＨＤＤ）などの磁気記憶デバイス、半導体記憶デバイス、光記憶デバイス、または光磁気記憶デバイスなどが用いられる。 (Storage 810)
The storage 810 is a device for storing various types of data. As the storage 810, for example, a magnetic storage device such as a hard disk drive (HDD), a semiconductor storage device, an optical storage device, an optical magnetic storage device, or the like is used.
（ドライブ８１１）
　ドライブ８１１は、例えば、磁気ディスク、光ディスク、光磁気ディスク、または半導体メモリなどのリムーバブル記録媒体９０１に記録された情報を読み出し、またはリムーバブル記録媒体９０１に情報を書き込む装置である。 (Drive 811)
The drive 811 is a device that reads information recorded on a removable recording medium 901 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, or writes information to the removable recording medium 901.
（接続ポート８１２）
　接続ポート８１２は、例えば、ＵＳＢ（Ｕｎｉｖｅｒｓａｌ　Ｓｅｒｉａｌ　Ｂｕｓ）ポート、ＩＥＥＥ１３９４ポート、ＳＣＳＩ（Ｓｍａｌｌ　Ｃｏｍｐｕｔｅｒ　Ｓｙｓｔｅｍ　Ｉｎｔｅｒｆａｃｅ）、ＲＳ－２３２Ｃポート、または光オーディオ端子などのような外部接続機器９０２を接続するためのポートである。 (Connection port 812)
The connection port 812 is a port for connecting an external connection device 902 such as a USB (Universal Serial Bus) port, an IEEE1394 port, a SCSI (Small Computer System Interface), a RS-232C port, or an optical audio terminal. be.
（通信装置８１３）
　通信装置８１３は、ネットワークに接続するための通信デバイスであり、例えば、有線または無線ＬＡＮ、Ｂｌｕｅｔｏｏｔｈ（登録商標）、またはＷＵＳＢ（Ｗｉｒｅｌｅｓｓ　ＵＳＢ）用の通信カード、光通信用のルータ、ＡＤＳＬ（Ａｓｙｍｍｅｔｒｉｃ　Ｄｉｇｉｔａｌ　Ｓｕｂｓｃｒｉｂｅｒ　Ｌｉｎｅ）用のルータ、または各種通信用のモデムなどである。 (Communication device 813)
The communication device 813 is a communication device for connecting to a network, and is, for example, a communication card for wired or wireless LAN, Bluetooth (registered trademark), or WUSB (Wireless USB), a router for optical communication, and ADSL (Asymmetric Digital). A router for Subscriber Line), a modem for various communications, and the like.
（リムーバブル記録媒体９０１）
　リムーバブル記録媒体９０１は、例えば、ＤＶＤメディア、Ｂｌｕ－ｒａｙ（登録商標）メディア、ＨＤ　ＤＶＤメディア、各種の半導体記憶メディアなどである。もちろん、リムーバブル記録媒体９０１は、例えば、非接触型ＩＣチップを搭載したＩＣカード、または電子機器などであってもよい。 (Removable recording medium 901)
The removable recording medium 901 is, for example, a DVD media, a Blu-ray (registered trademark) media, an HD DVD media, various semiconductor storage media, and the like. Of course, the removable recording medium 901 may be, for example, an IC card equipped with a non-contact type IC chip, an electronic device, or the like.
（外部接続機器９０２）
　外部接続機器９０２は、例えば、プリンタ、携帯音楽プレーヤ、デジタルカメラ、デジタルビデオカメラ、またはＩＣレコーダなどである。 (External connection device 902)
The externally connected device 902 is, for example, a printer, a portable music player, a digital camera, a digital video camera, an IC recorder, or the like.
　なお、本実施形態に係る記憶部１１０は、ＲＯＭ８０２やＲＡＭ８０３、ストレージ８１０によって実現される。また、プロセッサ８０１によって実現される本実施形態に係る制御部１７０が、取得部１２０、学習部１３０、補完部１４０、生成部１５０を実現する各制御プログラムを、ＲＯＭ８０２やＲＡＭ８０３などから読み出し実行する。また、本実施形態に係る通信部１６０が、データをＲＯＭ８０２やＲＡＭ８０３などから読み出し、ホストバス８０４、ブリッジ８０５、外部バス８０６、インターフェース８０７を介して通信装置８１３にデータを送り、外部装置へのデータ送信を行う（または、逆の経路で外部装置からデータ受信を行う）。 The storage unit 110 according to the present embodiment is realized by the ROM 802, the RAM 803, and the storage 810. Further, the control unit 170 according to the present embodiment realized by the processor 801 reads and executes each control program that realizes the acquisition unit 120, the learning unit 130, the complement unit 140, and the generation unit 150 from the ROM 802, the RAM 803, and the like. Further, the communication unit 160 according to the present embodiment reads data from ROM 802, RAM 803, etc., sends data to the communication device 813 via the host bus 804, the bridge 805, the external bus 806, and the interface 807, and data to the external device. Send (or receive data from an external device via the reverse route).
＜３．まとめ＞
　以上説明したように、情報処理装置１００は、調整対象となる第１の装置（ユーザ端末２００）によって表示され、測色器４００によって計測された、第１のＲＧＢ値に対する第１の表示色を取得する第１の取得部１２０と、前記第１のＲＧＢ値および前記第１の表示色に少なくとも基づいて、前記第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成する生成部１５０と、基準となる第２の装置（マスターモニター３００）によって表示され、前記測色器４００によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、前記マッピングテーブルから前記第２の表示色に最も近い前記第３の表示色を検索して、前記最も近い第３の表示色に対応する前記第３のＲＧＢ値を取得する第２の取得部１２０とを備える。 <3. Summary>
As described above, the information processing device 100 displays the first display color with respect to the first RGB value displayed by the first device (user terminal 200) to be adjusted and measured by the colorimeter 400. The first acquisition unit 120 to be acquired, and the third RGB value and the third display color specialized for the first apparatus based on at least the first RGB value and the first display color. Acquires the second display color with respect to the second RGB value displayed by the generation unit 150 that generates the mapping table and the reference second device (master monitor 300) and measured by the colorimeter 400. , A second acquisition unit that searches the mapping table for the third display color closest to the second display color and acquires the third RGB value corresponding to the closest third display color. It includes 120.
　これにより、情報処理端末の表示色の調整を効率的かつより正確に行うことができる。 This makes it possible to efficiently and more accurately adjust the display color of the information processing terminal.
　以上、添付図面を参照しながら本開示の好適な実施形態について詳細に説明したが、本開示の技術的範囲はかかる例に限定されない。本開示の技術分野における通常の知識を有する者であれば、請求の範囲に記載された技術的思想の範疇内において、各種の変更例または修正例に想到し得ることは明らかであり、これらについても、当然に本開示の技術的範囲に属するものと了解される。 Although the preferred embodiments of the present disclosure have been described in detail with reference to the accompanying drawings, the technical scope of the present disclosure is not limited to such examples. It is clear that anyone with ordinary knowledge in the technical field of the present disclosure may come up with various modifications or modifications within the scope of the technical ideas set forth in the claims. Is, of course, understood to belong to the technical scope of the present disclosure.
　また、本明細書に記載された効果は、あくまで説明的または例示的なものであって限定的ではない。つまり、本開示に係る技術は、上記の効果とともに、または上記の効果に代えて、本明細書の記載から当業者には明らかな他の効果を奏しうる。 Further, the effects described in the present specification are merely explanatory or exemplary and are not limited. That is, the techniques according to the present disclosure may exhibit other effects apparent to those skilled in the art from the description herein, in addition to or in place of the above effects.
　なお、本技術は以下のような構成も取ることができる。
（１）情報処理装置であって、
　調整対象となる第１の装置によって表示され、測色器によって計測された、第１のＲＧＢ値に対する第１の表示色を取得する第１の取得部と、
　前記第１のＲＧＢ値および前記第１の表示色に少なくとも基づいて、前記第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成する生成部と、
　基準となる第２の装置によって表示され、前記測色器によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、
　前記マッピングテーブルから前記第２の表示色に最も近い前記第３の表示色を検索して、前記最も近い第３の表示色に対応する前記第３のＲＧＢ値を取得する第２の取得部と
　を備えた、情報処理装置。
（２）前記生成部はさらに、前記取得した第３のＲＧＢ値と、前記第２のＲＧＢ値とに基づいて、前記第１の装置用の３Ｄルックアップテーブル（３Ｄ－ＬＵＴ）のための３Ｄ－ＬＵＴデータを生成する、前記（１）に記載の情報処理装置。
（３）前記第１の取得部は、特定ｂｉｔのＲＧＢ値の最大値を所定の間隔で割って算出される第４のＲＧＢ値を前記第１のＲＧＢ値として、前記第４のＲＧＢ値に対する第４の表示色を前記第１の表示色として取得し、
　前記第１のＲＧＢ値を入力、前記第１の表示色を正解とする教師データを学習して学習モデルを構築する学習部をさらに備え、
　前記生成部は、前記測色器によって計測されていない第５のＲＧＢ値と、前記第５のＲＧＢ値を前記学習モデルに入力して出力される第５の表示色とにさらに基づいて、前記マッピングテーブルを生成する、前記（１）または（２）に記載の情報処理装置。
（４）前記第１の取得部は、特定ｂｉｔのＲＧＢ値の最大値を所定の間隔で割って算出される第４のＲＧＢ値を前記第１のＲＧＢ値として、前記第４のＲＧＢ値に対する第４の表示色を前記第１の表示色として取得し、
　前記第１のＲＧＢ値および前記第１の表示色に基づいて、前記測色器によって計測されていない第５のＲＧＢ値に対する第５の表示色を補完する補完部をさらに備え、
　前記生成部は、前記第５のＲＧＢ値と、前記第５の表示色とにさらに基づいて、前記マッピングテーブルを生成する、前記（１）または（２）に記載の情報処理装置。
（５）前記第１の取得部はさらに、暗色として定める所定の閾値以下のＲＧＢ値の第２の最大値を第２の所定の間隔で割って算出される第６のＲＧＢ値を前記第１のＲＧＢ値として、前記第６のＲＧＢ値に対する第６の表示色を前記第１の表示色として取得する、前記（３）または（４）に記載の情報処理装置。
（６）前記第２の取得部は、前記第２の表示色との色差が最も小さくなる前記第３の表示色を、前記最も近い第３の表示色として検索する、前記（１）～（５）のいずれか１つに記載の情報処理装置。
（７）前記第１の取得部は、前記第１のＲＧＢ値に対する第１のＸＹＺ値を、前記第１の表示色として取得し、
　前記第２の取得部は、
　前記第２のＲＧＢ値に対する第２のＸＹＺ値を、前記第２の表示色として取得し、
　前記第２の表示色とのＸＹＺ色空間での色差が最も小さくなる前記第３の表示色と、前記第２の表示色とのＬａｂ色空間での色差が最も小さくなる前記第３の表示色とのうち、前記第２の表示色とのＤｅｌｔａＥが小さい方の表示色を、前記最も近い第３の表示色として検索する、前記（１）～（６）のいずれか１つに記載の情報処理装置。
（８）情報処理装置に、
　調整対象となる第１の装置によって表示され、測色器によって計測された、第１のＲＧＢ値に対する第１の表示色を取得し、
　前記第１のＲＧＢ値および前記第１の表示色に少なくとも基づいて、前記第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成し、
　基準となる第２の装置によって表示され、前記測色器によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、
　前記マッピングテーブルから前記第２の表示色に最も近い前記第３の表示色を検索して、前記最も近い第３の表示色に対応する前記第３のＲＧＢ値を取得する
　処理を実行させる、プログラム。
（９）情報処理装置が、
　調整対象となる第１の装置によって表示され、測色器によって計測された、第１のＲＧＢ値に対する第１の表示色を取得し、
　前記第１のＲＧＢ値および前記第１の表示色に少なくとも基づいて、前記第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成し、
　基準となる第２の装置によって表示され、測色器によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、
　前記マッピングテーブルから前記第２の表示色に最も近い前記第３の表示色を検索して、前記最も近い第３の表示色に対応する前記第３のＲＧＢ値を取得する
　処理を実行する、方法。 The present technology can also have the following configurations.
(1) An information processing device
A first acquisition unit that acquires the first display color with respect to the first RGB value, which is displayed by the first device to be adjusted and measured by the colorimeter, and
A generation unit that generates a mapping table between a third RGB value and a third display color specialized for the first apparatus based on at least the first RGB value and the first display color.
The second display color for the second RGB value, which is displayed by the reference second device and measured by the colorimeter, is acquired.
A second acquisition unit that searches the mapping table for the third display color closest to the second display color and acquires the third RGB value corresponding to the closest third display color. Information processing device equipped with.
(2) The generation unit further, based on the acquired third RGB value and the second RGB value, 3D for the 3D look-up table (3D-LUT) for the first apparatus. -The information processing apparatus according to (1) above, which generates LUT data.
(3) The first acquisition unit uses the fourth RGB value calculated by dividing the maximum RGB value of the specific bit by a predetermined interval as the first RGB value with respect to the fourth RGB value. The fourth display color is acquired as the first display color, and the fourth display color is acquired.
A learning unit for inputting the first RGB value and learning teacher data with the first display color as the correct answer to build a learning model is further provided.
The generation unit further bases the fifth RGB value not measured by the colorimeter and the fifth display color output by inputting the fifth RGB value into the learning model. The information processing apparatus according to (1) or (2) above, which generates a mapping table.
(4) The first acquisition unit uses the fourth RGB value calculated by dividing the maximum RGB value of the specific bit by a predetermined interval as the first RGB value with respect to the fourth RGB value. The fourth display color is acquired as the first display color, and the fourth display color is acquired.
Further provided with a complementary portion that complements the fifth display color with respect to the fifth RGB value not measured by the colorimeter based on the first RGB value and the first display color.
The information processing apparatus according to (1) or (2), wherein the generation unit further generates the mapping table based on the fifth RGB value and the fifth display color.
(5) The first acquisition unit further divides the second maximum value of the RGB values equal to or less than the predetermined threshold value defined as the dark color by the second predetermined interval to obtain the sixth RGB value. The information processing apparatus according to (3) or (4), wherein the sixth display color with respect to the sixth RGB value is acquired as the first display color.
(6) The second acquisition unit searches for the third display color having the smallest color difference from the second display color as the closest third display color. The information processing apparatus according to any one of 5).
(7) The first acquisition unit acquires the first XYZ value with respect to the first RGB value as the first display color.
The second acquisition unit is
The second XYZ value with respect to the second RGB value is acquired as the second display color, and the second display color is acquired.
The third display color having the smallest color difference in the XYZ color space from the second display color and the smallest color difference in the Lab color space between the third display color and the second display color. The information according to any one of (1) to (6) above, wherein the display color having a smaller Delta E than the second display color is searched as the closest third display color. Processing equipment.
(8) For information processing equipment
Acquires the first display color for the first RGB value, which is displayed by the first device to be adjusted and measured by the colorimeter.
A mapping table of a third RGB value and a third display color specialized for the first apparatus is generated based on at least the first RGB value and the first display color.
The second display color for the second RGB value, which is displayed by the reference second device and measured by the colorimeter, is acquired.
A program that searches the mapping table for the third display color closest to the second display color and executes a process of acquiring the third RGB value corresponding to the closest third display color. ..
(9) The information processing device
Acquires the first display color for the first RGB value, which is displayed by the first device to be adjusted and measured by the colorimeter.
A mapping table of a third RGB value and a third display color specialized for the first apparatus is generated based on at least the first RGB value and the first display color.
Acquires the second display color for the second RGB value, which is displayed by the reference second device and measured by the colorimeter.
A method of searching the mapping table for the third display color closest to the second display color and executing a process of acquiring the third RGB value corresponding to the closest third display color. ..
　１００　情報処理装置
　１１０　記憶部
　１２０　取得部
　１３０　学習部
　１４０　補完部
　１５０　生成部
　１６０　通信部
　１７０　制御部
　２００　ユーザ端末
　３００　マスターモニター
　４００　測色器 100 Information processing device 110 Storage unit 120 Acquisition unit 130 Learning unit 140 Complementary unit 150 Generation unit 160 Communication unit 170 Control unit 200 User terminal 300 Master monitor 400 Colorimeter

Claims (9)

  1. 　情報処理装置であって、
    　調整対象となる第１の装置によって表示され、測色器によって計測された、第１のＲＧＢ値に対する第１の表示色を取得する第１の取得部と、
    　前記第１のＲＧＢ値および前記第１の表示色に少なくとも基づいて、前記第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成する生成部と、
    　基準となる第２の装置によって表示され、前記測色器によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、
    　前記マッピングテーブルから前記第２の表示色に最も近い前記第３の表示色を検索して、前記最も近い第３の表示色に対応する前記第３のＲＧＢ値を取得する第２の取得部と
    　を備えた、情報処理装置。     It is an information processing device
    A first acquisition unit that acquires the first display color with respect to the first RGB value, which is displayed by the first device to be adjusted and measured by the colorimeter, and
    A generation unit that generates a mapping table between a third RGB value and a third display color specialized for the first apparatus based on at least the first RGB value and the first display color.
    The second display color for the second RGB value, which is displayed by the reference second device and measured by the colorimeter, is acquired.
    A second acquisition unit that searches the mapping table for the third display color closest to the second display color and acquires the third RGB value corresponding to the closest third display color. Information processing device equipped with.
  2. 　前記生成部はさらに、前記取得した第３のＲＧＢ値と、前記第２のＲＧＢ値とに基づいて、前記第１の装置用の３Ｄルックアップテーブル（３Ｄ－ＬＵＴ）のための３Ｄ－ＬＵＴデータを生成する、請求項１に記載の情報処理装置。 The generator further obtains 3D-LUT data for a 3D look-up table (3D-LUT) for the first apparatus based on the acquired third RGB value and the second RGB value. The information processing apparatus according to claim 1.
  3. 　前記第１の取得部は、特定ｂｉｔのＲＧＢ値の最大値を所定の間隔で割って算出される第４のＲＧＢ値を前記第１のＲＧＢ値として、前記第４のＲＧＢ値に対する第４の表示色を前記第１の表示色として取得し、
    　前記第１のＲＧＢ値を入力、前記第１の表示色を正解とする教師データを学習して学習モデルを構築する学習部をさらに備え、
    　前記生成部は、前記測色器によって計測されていない第５のＲＧＢ値と、前記第５のＲＧＢ値を前記学習モデルに入力して出力される第５の表示色とにさらに基づいて、前記マッピングテーブルを生成する、請求項１に記載の情報処理装置。     The first acquisition unit uses the fourth RGB value calculated by dividing the maximum RGB value of the specific bit by a predetermined interval as the first RGB value, and sets the fourth RGB value with respect to the fourth RGB value. The display color is acquired as the first display color, and the display color is acquired.
    A learning unit for inputting the first RGB value and learning teacher data with the first display color as the correct answer to build a learning model is further provided.
    The generation unit further bases the fifth RGB value not measured by the colorimeter and the fifth display color output by inputting the fifth RGB value into the learning model. The information processing apparatus according to claim 1, which generates a mapping table.
  4. 　前記第１の取得部は、特定ｂｉｔのＲＧＢ値の最大値を所定の間隔で割って算出される第４のＲＧＢ値を前記第１のＲＧＢ値として、前記第４のＲＧＢ値に対する第４の表示色を前記第１の表示色として取得し、
    　前記第１のＲＧＢ値および前記第１の表示色に基づいて、前記測色器によって計測されていない第５のＲＧＢ値に対する第５の表示色を補完する補完部をさらに備え、
    　前記生成部は、前記第５のＲＧＢ値と、前記第５の表示色とにさらに基づいて、前記マッピングテーブルを生成する、請求項１に記載の情報処理装置。     The first acquisition unit uses the fourth RGB value calculated by dividing the maximum RGB value of the specific bit by a predetermined interval as the first RGB value, and sets the fourth RGB value with respect to the fourth RGB value. The display color is acquired as the first display color, and the display color is acquired.
    Further provided with a complementary portion that complements the fifth display color with respect to the fifth RGB value not measured by the colorimeter based on the first RGB value and the first display color.
    The information processing apparatus according to claim 1, wherein the generation unit further generates the mapping table based on the fifth RGB value and the fifth display color.
  5. 　前記第１の取得部はさらに、暗色として定める所定の閾値以下のＲＧＢ値の第２の最大値を第２の所定の間隔で割って算出される第６のＲＧＢ値を前記第１のＲＧＢ値として、前記第６のＲＧＢ値に対する第６の表示色を前記第１の表示色として取得する、請求項３に記載の情報処理装置。 The first acquisition unit further divides the second maximum value of the RGB values below a predetermined threshold value defined as a dark color by the second predetermined interval to obtain the sixth RGB value, which is the first RGB value. The information processing apparatus according to claim 3, wherein the sixth display color with respect to the sixth RGB value is acquired as the first display color.
  6. 　前記第２の取得部は、前記第２の表示色との色差が最も小さくなる前記第３の表示色を、前記最も近い第３の表示色として検索する、請求項１に記載の情報処理装置。 The information processing apparatus according to claim 1, wherein the second acquisition unit searches for the third display color having the smallest color difference from the second display color as the closest third display color. ..
  7. 　前記第１の取得部は、前記第１のＲＧＢ値に対する第１のＸＹＺ値を、前記第１の表示色として取得し、
    　前記第２の取得部は、
    　前記第２のＲＧＢ値に対する第２のＸＹＺ値を、前記第２の表示色として取得し、
    　前記第２の表示色とのＸＹＺ色空間での色差が最も小さくなる前記第３の表示色と、前記第２の表示色とのＬａｂ色空間での色差が最も小さくなる前記第３の表示色とのうち、前記第２の表示色とのＤｅｌｔａＥが小さい方の表示色を、前記最も近い第３の表示色として検索する、請求項１に記載の情報処理装置。     The first acquisition unit acquires the first XYZ value with respect to the first RGB value as the first display color.
    The second acquisition unit is
    The second XYZ value with respect to the second RGB value is acquired as the second display color, and the second display color is acquired.
    The third display color having the smallest color difference in the XYZ color space from the second display color and the smallest color difference in the Lab color space between the third display color and the second display color. The information processing apparatus according to claim 1, wherein the display color having a smaller Delta E than the second display color is searched for as the closest third display color.
  8. 　情報処理装置に、
    　調整対象となる第１の装置によって表示され、測色器によって計測された、第１のＲＧＢ値に対する第１の表示色を取得し、
    　前記第１のＲＧＢ値および前記第１の表示色に少なくとも基づいて、前記第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成し、
    　基準となる第２の装置によって表示され、前記測色器によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、
    　前記マッピングテーブルから前記第２の表示色に最も近い前記第３の表示色を検索して、前記最も近い第３の表示色に対応する前記第３のＲＧＢ値を取得する
    　処理を実行させる、プログラム。     For information processing equipment
    Acquires the first display color for the first RGB value, which is displayed by the first device to be adjusted and measured by the colorimeter.
    A mapping table of a third RGB value and a third display color specialized for the first apparatus is generated based on at least the first RGB value and the first display color.
    The second display color for the second RGB value, which is displayed by the reference second device and measured by the colorimeter, is acquired.
    A program that searches the mapping table for the third display color closest to the second display color and executes a process of acquiring the third RGB value corresponding to the closest third display color. ..
  9. 　情報処理装置が、
    　調整対象となる第１の装置によって表示され、測色器によって計測された、第１のＲＧＢ値に対する第１の表示色を取得し、
    　前記第１のＲＧＢ値および前記第１の表示色に少なくとも基づいて、前記第１の装置に特化した第３のＲＧＢ値と第３の表示色とのマッピングテーブルを生成し、
    　基準となる第２の装置によって表示され、測色器によって計測された、第２のＲＧＢ値に対する第２の表示色を取得し、
    　前記マッピングテーブルから前記第２の表示色に最も近い前記第３の表示色を検索して、前記最も近い第３の表示色に対応する前記第３のＲＧＢ値を取得する
    　処理を実行する、方法。     Information processing device
    Acquires the first display color for the first RGB value, which is displayed by the first device to be adjusted and measured by the colorimeter.
    A mapping table of a third RGB value and a third display color specialized for the first apparatus is generated based on at least the first RGB value and the first display color.
    Acquires the second display color for the second RGB value, which is displayed by the reference second device and measured by the colorimeter.
    A method of searching the mapping table for the third display color closest to the second display color and executing a process of acquiring the third RGB value corresponding to the closest third display color. ..
PCT/JP2020/007231 2020-02-21 2020-02-21 Information processing device, program, and method WO2021166254A1 (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010045558A (en) * 2008-08-12 2010-02-25 Nec Corp Image processor
JP2019129435A (en) * 2018-01-25 2019-08-01 株式会社サンヨー・シーワィピー Color difference adjusted image data generation method, color difference adjusted image display method, color difference adjusted image data generation device, and color difference adjusted image display system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010045558A (en) * 2008-08-12 2010-02-25 Nec Corp Image processor
JP2019129435A (en) * 2018-01-25 2019-08-01 株式会社サンヨー・シーワィピー Color difference adjusted image data generation method, color difference adjusted image display method, color difference adjusted image data generation device, and color difference adjusted image display system

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