JP2022139185A - Display device primary color design system, display device primary color design method, and program - Google Patents

Abstract

To provide a display device primary color design system for designing a spectral distribution of primary colors of a display device in which display colors are similarly observed among a large number of viewers without requiring correction of display colors for each of the viewers.SOLUTION: A display device primary color design system according to the present invention includes an object color calculation unit that calculates, as an object color, each color perceived by each of color matching functions of different viewers for an object belonging to a predetermined class, a display color calculation unit that calculates a display color when the spectral distribution of a display device that approximates the object color corresponding to each object color is observed using a predetermined color matching function on the basis of the spectral distribution of a candidate primary color that is candidate for the light source of the primary color of the display device and each of the color matching functions, and a display device primary color optimization unit that obtains the spectral distribution of the primary colors of the display device from the spectral distribution of the candidate primary colors on the basis of the color difference of the display color.SELECTED DRAWING: Figure 1

Description

The present invention relates to a display device primary color design system, a display device primary color design method, and a program for designing spectral radiance of primary colors used in a display device.

Depending on the spectral characteristics of a display device such as a display, even when viewing the same display screen, individual differences in color matching functions for each observer may cause perception of different display colors.
As a result, when the colors of the design displayed on the display screen of the display device are evaluated by a plurality of observers, the same display color is observed as a different display color among the observers. Communication can be difficult.

Further, as disclosed in Patent Document 1, in order to improve the image quality of display colors, as the spectral characteristics of the primary colors of the display device are made narrower, the display color gamut expands, while individual differences in perception are reduced. become prominently displayed.
In Patent Document 1, there is a software method for performing color conversion of an image so as to reduce individual differences in color perception by adjusting the display colors of the image based on color matching functions that differ from observer to observer. disclosed.

Further, Patent Document 2 discloses, as a hardware method, a method of designing the spectral characteristics of the primary colors of a display device so that individual differences in color are reduced based on color matching functions that differ from observer to observer. ing.
In the design of the primary colors of the display device, the colorimetric values for each observer are obtained from the spectral reflectance of the object to be displayed and the spectral radiance of the light source, and the color difference between the colorimetric values of the display device for each observer and The spectral distribution of the primary colors of the display device is optimized so that .

JP 2014-120796 A JP 2019-62285 A

However, in Patent Document 1, when each observer observes an image, it is necessary to perform color conversion processing on display colors based on the color matching function of each observer for each image to be observed.
In addition, in Patent Document 2, since objects to be displayed in the field of digital cinema and the like are indefinite, the spectral distribution of the display device is designed based on the spectral reflectance of various objects. It becomes a half-finished state for each object.
Furthermore, in Patent Document 2, since the light source of the observation environment of the object is indefinite, it cannot be said that the effect of suppressing individual differences is necessarily obtained under the light source that was not used in the design.

The present invention has been made in view of such circumstances. A display device primary color designing system, a display device primary color designing method, and a program for designing a spectral distribution of radiance (sometimes simply referred to as a spectral distribution) are provided.

In order to solve the above-described problems, the display device primary color design system of the present invention provides an object color scheme for calculating colors perceived by different observer color matching functions as object colors for objects belonging to a predetermined class. Predetermining a spectral distribution on the display device corresponding to each of the object colors and approximating the object color from the calculation unit, the spectral distribution of the candidate primary colors that are candidates for the primary colors of the display device, and each of the color matching functions and a display device primary color calculating unit for calculating a display color when observed by a color matching function of , and a display device primary color for obtaining a spectral distribution of the primary color of the display device from the spectral distribution of the candidate primary color based on the color difference of the display color. and an optimization unit.

The display device primary color design system of the present invention is characterized in that the classification includes at least one of printed matter, painted matter, painting, skin, and texture.

The display device primary color design system of the present invention is characterized in that, when the classification is the printed matter, the objects are set in a small classification based on at least a combination of the base material and the ink to be printed.

The display device primary color design system of the present invention is characterized in that, when the classification is the skin, the object is set in at least a small classification according to body parts.

In the display device primary color design system of the present invention, when calculating the object color, the object color calculation unit selects a light source in the environment in which the object is observed, and calculates the object color using the spectral distribution of the light source. It is characterized by calculating.

In the display device primary color design system of the present invention, when calculating the object color, the object color calculation unit uses a standard light source used in an environment in which the object is observed, and uses the spectral distribution of the light source. and calculating the object color.

The display device primary color design method of the present invention includes an object color calculation step in which the object color calculation unit calculates each color perceived by each of the color matching functions of different observers for an object belonging to a predetermined class as an object color. and a display color calculation unit, from spectral distributions of candidate primary colors that are candidates for the primary colors of the display device and from each of the color matching functions, the spectral distribution in the display device that approximates the object color corresponding to each of the object colors. a display color calculation process for calculating a display color when the distribution is observed with a predetermined color matching function; and a display device primary color optimization process for determining the spectral distribution of the device primaries.

The program of the present invention provides a computer with object color calculation means for calculating, as object colors, colors perceived by different observer color matching functions for objects belonging to a predetermined class, and primary color candidates for a display device. display color when the spectral distribution on the display device that approximates the object color corresponding to each of the object colors is observed with a predetermined color matching function from the spectral distribution of the candidate primary colors and each of the color matching functions and display device primary color optimizing means for obtaining the spectral distribution of the primary colors of the display device from the spectral distributions of the candidate primary colors based on the color difference of the display colors.

As described above, according to the present invention, it is possible to design the spectral radiance of the primary colors of the display device so that the display colors can be observed in the same way among many observers without the need to correct the display colors for each observer. It is possible to provide a display device primary color design system, a display device primary color design method, and a program.

1 is a block diagram showing a configuration example of a display device primary color design system according to a first embodiment of the present invention; FIG. 3 is a diagram showing an example of an observer selection screen displayed on the display screen of the display unit 109 by the color matching function selection unit 102. FIG. 4 is a diagram showing an example of an object classification selection screen displayed on a display screen of a display unit 109 by an object classification selection unit 103. FIG. FIG. 7 is a diagram showing an example of selection items displayed on the display screen of the display unit 109 by the object classification selection unit 103 in order to further classify printed matter. FIG. 10 is a diagram showing an example of selection items displayed on the display screen of the display unit 109 by the object classification selection unit 103 in order to further classify the skin. FIG. 10 is a diagram showing an example of a light source classification selection screen when observing an object displayed on the display screen of the display unit 109 by the ambient light selection unit 104 according to the first embodiment. 3 is a diagram showing an example of a screen for setting the shape and selecting the type of the primary colors of the display device displayed on the display screen of the display unit 109 by the primary color spectral distribution setting unit 106. FIG. It is a figure which shows an example of the distribution shape of the primary-color spectral radiance (r((lambda)), g((lambda)), b((lambda))) in this embodiment. FIG. 10 is a conceptual diagram showing how to read an example of a diagram in which the average values of the color differences of the primary colors observed by the display device primary color optimization unit 108 are compared. FIG. 10 is a diagram showing a collection of color difference maps for which the display device primary color optimization unit 108 selects printed matter as the object classification and compares the average value of the color difference of each of the observed primary colors. FIG. 4 is a diagram showing the spectral radiance of a light source used by the display device primary color optimization unit 108 to obtain the color difference of the primary colors of the display device in the first embodiment. FIG. 4 is a diagram showing the spectral reflectance of the base material of the printed matter, which is used by the display device primary color optimization unit 108 to obtain the color difference of the primary colors of the display device in the first embodiment. FIG. 10 shows a collection of color difference maps for which the display primary color optimizer 108 selects skin as the object classification and compares the mean color difference of each of the observed primaries. FIG. 4 is a diagram showing a collection of color difference maps for which the display device primary color optimization unit 108 selects paintings (eg, oil paintings) as the object classification and compares the average value of the color difference of each of the observed primary colors. FIG. 10 is a diagram showing a collection of color difference maps in which the display primary color optimizer 108 selects paintings (eg, watercolors) as the object classification and compares the average value of the color difference of each of the observed primary colors. FIG. 10 is a diagram showing a collection of color difference maps for which the display device primary color optimization unit 108 selects printed matter as the object classification and compares the average value of the color difference of each of the observed primary colors. FIG. 10 shows a collection of color difference maps for which the display primary color optimizer 108 selects skin as the object classification and compares the mean color difference of each of the observed primaries. 5 is a flow chart showing an operation example of processing for calculating the central wavelength and half width of the primary colors of the display device by the display device primary color design system of the present embodiment. FIG. 10 is a diagram showing an example of a light source classification selection screen when observing an object displayed on the display screen of the display unit 109 by the ambient light selection unit 104 according to the second embodiment.

The present invention relates to a general display device that displays an object, the primary colors of the display device (color component R (Red), color component G (Green), and color component B (Blue)).
In the display device primary color design system of the present invention, in order to minimize individual differences among a plurality of observers, the objects to be observed are limited by a predetermined classification, and the individual color characteristics of each object are handled. to specify the spectral radiance of the primary colors of the display device.

In addition, since the light source of the environment where the object to be displayed is imaged is generally indefinite, by evaluating individual differences in the display device using a plurality of light sources, it is possible to suppress individual differences without depending on a specific light source. (corresponding to the first embodiment described later).
On the other hand, although the environment for imaging each object to be displayed is generally indefinite, the present invention specifies the light source that irradiates each object by limiting each object, and uses the light source. By doing so, the effect of suppressing individual differences is improved (corresponding to a second embodiment described later).

<First Embodiment>
A first embodiment of the present invention will be described below with reference to the drawings.
FIG. 1 is a block diagram showing a configuration example of a display device primary color design system according to a first embodiment of the present invention.
1, the display device primary color design system 1 includes a data input unit 101, a color matching function selection unit 102, an object classification selection unit 103, an ambient light selection unit 104, an object color calculation unit 105, a primary color spectral distribution setting unit 106, a display A color calculation unit 107, a display device primary color optimization unit 108, a display unit 109, a color matching function storage unit 110, an object spectral reflectance storage unit 111, an ambient light spectral radiance storage unit 112, a primary color spectral radiance storage unit 113, and an optimum Each primary color spectral radiance storage unit 114 is provided.

A data input unit 101 inputs data such as color matching functions of a human observer, classification of objects, spectral reflectance of each object, spectral radiance of ambient light, and spectral radiance of primary colors of a display device to an external device. , and write and store them in the color matching function storage unit 110, the object spectral reflectance storage unit 111, the ambient light spectral radiance storage unit 112, and the primary color spectral radiance storage unit 113, respectively.

The color matching function selection unit 102 displays, on the display unit 109, groups of color matching functions used when the object color calculation unit 105, which will be described later, calculates object colors (that is, tristimulus values of object colors).
Then, the color matching function selection unit 102 reads out the color matching function of the observer selected by the operator from each of the observers displayed on the display unit 109 from the color matching function storage unit 110, and the object color calculation unit 105 reads out the color matching function. Output for

FIG. 2 is a diagram showing an example of an observer's selection screen displayed on the display screen of the display unit 109 by the color matching function selection unit 102. As shown in FIG.
In FIG. 2, each of the CIE Standard Observer, CIE Sub-Standard Observer, Paper Data #1, Paper Data #2, and Observer #1 is indicated as the selected observer.
Each of the CIE Standard Observer and the CIE Supplementary Standard Observer is a CIE-defined common human, and color matching functions are provided by the CIE corresponding to these standard observers.

Paper data #1 is a group of many observers included in a paper on color matching functions, and each color matching function of each observer is shown.
Paper data #2 is a group of many observers included in papers on color matching functions different from paper data #1, and color matching functions of each observer are shown.
Observer #1 is a group of observers gathered in advance by an operator or the like. For example, a group that observes the same image on the same display device (or the same type of display device) and decides the colors in the design. A group of humans with known color matching functions belonging to , or a single observer.

Then, the color matching function selection unit 102 reads the observer's color matching function selected by the operator from the color matching function storage unit 110 .
For example, when the operator selects each of the CIE standard observer, the CIE auxiliary standard observer, and observer #1, the color matching function selection unit 102 selects the CIE standard observer, CIE auxiliary standard observer, and observer #1. 1 Read the color matching functions (color matching functions x _i (λ), y _i (λ), z _i (λ) described later) of each observer from the color matching function storage unit 110 .

Then, the color matching function selection unit 102 outputs the read color matching function of the observer (ie, selected by the operator) to the object color calculation unit 105 .
Here, the observer can arbitrarily select one or more groups of observers on the selection screen (multiple selections possible).

Returning to FIG. 1, the object classification selection unit 103 displays on the display unit 109 the classification (object classification) of the spectral reflectance of the object (substance) used when the object color calculation unit 105, which will be described later, calculates the object color. do.
Then, the object classification selection unit 103 selects the spectral reflectance (object spectral reflectance) is read from the object spectral reflectance storage unit 111 and output to the object color calculation unit 105 .

FIG. 3 is a diagram showing an example of an object classification selection screen displayed on the display screen of the display unit 109 by the object classification selection unit 103. As shown in FIG.
In FIG. 3, each of printed matter, painted matter, painting, skin, texture, etc. is indicated as a selected object category.
Printed matter includes photographic images, posters, building materials, and the like, and indicates an object printed on a printing medium (base material) using ink. A painted object indicates an object obtained by applying paint or the like to a base material (including base-coated base material). A painting indicates an object such as an oil painting drawn using oil paint or a watercolor painting drawn using watercolor paint. Skin refers to the skin of each human part as an object. The fabric is a fabric such as cloth, and is further classified (divided into small categories) by the material (type, product number) of the created thread, the weaving method (or sewing method), the color of the thread, and the like.

For example, when the operator selects a printed matter on the display screen of FIG. 3, the color matching function selection unit 102 displays a selection screen for classifying the printed matter in more detail.
FIG. 4 is a diagram showing an example of selection items displayed on the display screen of the display unit 109 by the color matching function selection unit 102 in order to further classify printed matter.
FIG. 4A shows the type of base material (printing medium) used for printing, which is one of the selection items as a small classification in the classification of printed matter. Each of paper #1 to paper #3 indicates a standard paper that is generally used, a paper used for printing, or the like. Each of Metal #1 and Metal #2 indicates a commonly used standard metal, or a metal used for printing. Each of Wood #1 and Wood #2 indicates a standard wood generally used or a wood used for printing.

FIG. 4B shows the type of printing method used for printing, which is one of the selection items as a small classification in the classification of printed matter. Here, printing methods are shown as offset, gravure, silk, inkjet, etc. as small classification printing techniques.
FIG. 4C shows the type of ink (ink set) used for printing, which is one of the selection items. Each of Ink #1 to Ink #5 indicates a generally used ink set, an ink set used for printing, etc. printed).

4(a), 4(b), and 4(c), the operator selects paper #1 and paper #3 as base materials, offset and gravure as printing methods, and ink for offset printing. When each of ink #1 and ink #3 is selected, the object classification selection unit 103 selects paper #1, paper #3, offset, ink #1 and ink #3 (an ink set used for offset, each single color). Alternatively, the spectral reflectance (object spectral reflectance) in each combination of multi-color printing is read out from the object spectral reflectance storage unit 111 . In the offset printing method, when ink #1 is composed of three types of ink and ink #3 is composed of five types of ink, 2 (the number of types of paper) × 3 (the number of types of ink of ink #1) + 2 (the number of types of ink of ink #1) (number of types of ink #3)×5 (number of types of ink #3)=16 types of spectral reflectance are read out.

Returning to FIG. 3, when the operator selects skin on the display screen of FIG. 3, the color matching function selection unit 102 displays a selection screen for classifying the skin in more detail.
FIG. 5 is a diagram showing an example of selection items displayed on the display screen of the display unit 109 by the object classification selection unit 103 in order to further classify the skin.

FIG. 5( a ) shows the types of parts of the human body, which are one of the selection items, for specifying the skin of which part of the human body. As for parts, for example, the palm, the back of the hand, the arm, the back, the abdomen, the face, etc. are shown as small classifications.
FIG. 5(b) shows the type of skin color in race and skin part, which are one of the selection items. As for this type, skin color #1 to skin color #7 are shown as small classifications of skin color.

Further, when the display device primary color design system 1 is operated for specific races such as Caucasoid, Mongoloid, Negroid, Oustroid, etc. as biological divisions of race, the type of skin color is specified and one type is used. Therefore, there is no need to select the skin color as an option. In this case, the display device primary color design system 1 may be configured without the function of selecting the type of skin color.

5(a) and 5(b), when the operator selects the palm and face as parts, and skin color #1, skin color #3, and skin color #6 as skin color classifications, the object The classification selection unit 103 divides the spectral reflectance (object spectral reflectance, spectral reflectance r _j (λ) to be described later) in each of the combinations of palm and face, skin color #1, skin color #3, and skin color #6 into object spectral reflectance. Read from the reflectance storage unit 111 . In this case, 2 (the number of types of parts)×3 (the number of types of skin colors)=6 types of spectral reflectances are read out.
A plurality of selection items are also shown for each of the other paintings, paintings, and fabrics, and the object classification selection unit 103 selects the An object spectral reflectance (spectral reflectance r _j (λ) to be described later) is read.

Returning to FIG. 1, the ambient light selection unit 104 classifies the spectral radiance of the light source (ambient light spectral radiance) in the environment in which the object is observed, which is used when the object color calculation unit 105, which will be described later, calculates the object color. is displayed on the display unit 109 .
Then, the ambient light selection unit 104 stores the spectral radiance (environment light spectral radiance) of the light source selected by the operator from each of the light source classifications displayed on the display unit 109 as the ambient light spectral radiance storage unit 112 . , and outputs it to the object color calculation unit 105 .

FIG. 6 is a diagram showing an example of a light source classification selection screen when observing an object displayed on the display screen of the display unit 109 by the ambient light selection unit 104 according to the first embodiment. FIG. 6 shows, for example, a screen for selecting LED lighting #1, LED lighting #2 (with ultraviolet light), fluorescent lighting #1, fluorescent lighting #2, outdoor, etc. as light source classifications.

That is, in FIG. 6, each of LED lighting #1, LED lighting #2 (with ultraviolet light), fluorescent light #1, fluorescent light #2, and outdoors is classified as a light source (environmental light spectral radiance) in the environment. It is shown. Here, LED illumination #1 is spectral radiance data in a wavelength range that can be recognized by humans, and LED illumination #2 is spectral radiance data that includes a wavelength range of ultraviolet light that is not visible to humans. is shown.
For example, each of LED illumination #1, LED illumination #2, fluorescent lamp #1, and fluorescent lamp #2 is described with a device name whose specifications are provided by the manufacturer. Outdoors indicates, for example, a state under sunlight on fine weather.

Then, the ambient light selection unit 104 reads the ambient light spectral radiance corresponding to the light source selected by the operator from the ambient light spectral radiance storage unit 112 .
For example, when the operator selects LED illumination #1, LED illumination #2, and outdoors, the ambient light selection unit 104 selects the ambient light spectral emission of each of the LED illumination #1, LED illumination #2, and outdoor light sources. The brightness is read from the ambient light spectral radiance storage unit 112 .
Here, the observer can arbitrarily select one or a plurality of light sources on the selection screen (multiple selections are possible).

Returning to FIG. 1, the object color calculation unit 105 calculates the color matching function, the object spectral reflectance, and the ambient light spectral radiance supplied from the color matching function selection unit 102, the object classification selection unit 103, and the ambient light selection unit 104, respectively. The object color is calculated from each of them.
At this time, the object color calculation unit 105 inputs the observer's color matching functions x _i (λ), y _i (λ), and z _i (λ) selected by the operator from the color matching function selection unit 102 . where i represents the observer's index.

Further, the object color calculation unit 105 inputs the object spectral reflectance r _j (λ) corresponding to the object classification selected by the operator from the object classification selection unit 103 . where j represents the index of the object.
Further, the object color calculation unit 105 inputs the ambient light spectral radiance (spectral distribution) l _k (λ) corresponding to each of the environmental light sources selected by the operator from the ambient light selection unit 104 . where k represents the light source index.

Then, the object color calculation unit 105 calculates the spectral reflectance r _j (λ) of the j-th object, the spectral distribution l _k (λ) of the k-th light source, and the color-matching function x _i (λ) of the i-th observer. λ), y _i (λ), and z _i (λ), and the tristimulus values Xp _i,j,k , Yp Calculate i _,j,k and Zp _i,j,k .

The primary color spectral distribution setting unit 106 sets the spectral radiance data (r(λ), g(λ), b(λ)) is read.
At this time, the primary color spectral distribution setting unit 106 causes the display unit 109 to display a display screen for selecting the spectral radiance, and prompts the operator to select the type of primary color.

FIG. 7 is a diagram showing an example of a screen displayed on the display screen of the display unit 109 by the primary color spectral distribution setting unit 106 for setting the shape and selecting the type of the primary colors of the display device.
FIG. 7A shows, as primary color spectral radiance data of the display device, R primary color spectral radiance r(λ) of color component R, G primary color spectral radiance g(λ) of color component G, and color component B 4 shows a setting screen for setting the shape of each spectral distribution of the spectral radiance b(λ) of the B primary color of . In the present embodiment, the shape of the spectral distribution uses a distribution shape (shape corresponding to a normal distribution) approximated by a symmetrical bell-shaped curve shape, and the central wavelength is the central wavelength of the distribution shape. , the left and right width of the distribution is set by the half width.

FIG. 8 is a diagram showing an example of a distribution shape of primary color spectral radiances (r(λ), g(λ), b(λ)) in this embodiment. In the graph of FIG. 8, the horizontal axis indicates the wavelength, and the vertical axis indicates the intensity value of the radiated light (the standard value obtained by dividing the intensity value of the wavelength of the radiated light for each color component by the maximum value of the radiated light for each color component). ing.
In FIG. 8, the shape of the spectral distribution is a symmetrical bell-shaped curved line, and the wavelength λ0 and the wavelength λp indicate the central wavelengths.
Further, the half-value width of each of the spectral distributions of wavelength λ0 and wavelength λp is L1, and the numerical value of this half-value width L1 can be arbitrarily set as described later.

Returning to FIG. 7, a method for setting the shape of the spectral distribution will be described with reference to FIG. 7A, taking the spectral distribution of the B primary color as an example.
The minimum center wavelength value is the minimum value of the wavelength λ used when setting the display color of a display device, which will be described later, and corresponds to the wavelength λ0 in FIG.
The center wavelength maximum value is the maximum value of the wavelength λ used when setting the display color, and corresponds to the wavelength λp in FIG.
The center wavelength step indicates a step width for generating a wavelength that becomes the center wavelength in the wavelength range from the center wavelength minimum value λ0 to the center wavelength maximum value λp.

For example, when the increment width of the central wavelength increment is 10 nm, it indicates that a spectral distribution having a central wavelength increased by 10 nm from the minimum central wavelength value λ0 is generated.
That is, when the minimum center wavelength is 400 nm, the maximum center wavelength is 500 nm, and the center wavelength step is 10 nm, 400 nm (λ0), 410 nm (λ1), 420 nm (λ2), 430 nm (λ3), 440 nm Eleven (0≤p≤10) spectral distributions of (λ4), 450 nm (λ5), 460 nm (λ6), 470 nm (λ7), 480 nm (λ8), 490 nm (λ9) and 500 nm (λ10) are generated. .

The half width minimum value is the minimum value (L0) of the half width of the spectral distribution used when setting the display color in the display device described later.
The maximum half-value width is the maximum value (Lq) of the half-value width of the spectral distribution used when setting the display color in a display device, which will be described later.
The half-value width step indicates a step width for generating a wavelength corresponding to the half-value width of the spectral distribution in the wavelength range from the half-value width minimum value to the half-value width maximum value.
For example, when the step width of the half-value width step is 10 nm, it indicates that a spectral distribution having a center wavelength increased by 5 nm from the minimum half-value width value L0 is generated.

For example, when the step width of the half-value width step is 5 nm, it indicates that a spectral distribution having a half-value width of a wavelength increased by 5 nm from the minimum half-value width value is generated.
That is, when the half-width minimum value is 10 nm, the half-width maximum value is 50 nm, and the half-width step is 5 nm, 10 nm (L0), 15 nm (L1), 20 nm (L2), 25 nm (L3), 30 nm Nine (0≦q≦8) spectral distributions of (L4), 35 nm (L5), 40 nm (L6), 45 nm (L7), and 50 nm (L8) are generated.
As a result, 99 combinations of primary color spectral distributions are generated for the B primary color, with 11 combinations of center wavelengths and 9 combinations of half-value widths.

Further, in each of the other G primary colors and R primary colors, as in the above-described B primary color, the center wavelength minimum value, the center wavelength maximum value, the center wavelength increment, the half-value width minimum value, and the half-value width By setting each of the maximum value and the half width increment, the primary color spectral distribution setting unit 106 obtains the number of combinations for each of the G primary color and the R primary color.

Then, the primary color spectral distribution setting unit 106 acquires the distribution shape of the spectral distribution of the primary colors of the number of further combinations of each combination of the R primary color, the G primary color, and the B primary color, and sequentially provides the display color calculation unit 107 with the , the distribution shape of the combined spectral distribution, that is, the intensity value (standard value) for each wavelength of each of the R primary color, G primary color, and B primary color.
Further, in the present embodiment, the shape of the spectral distribution has been described as a case of a normal distribution, but the shape is not limited to the normal distribution, and a distribution curve in which the left and right curves have different tail shapes may be used.

FIG. 7(b) shows a selection screen for selecting spectral distribution data of radiant light intensities of primary colors (R color component, G color component and B color component) of the display device already in use.
In FIG. 7B, for example, primary color data sets #1, primary color data set #2, primary color data set #3, primary color data set #4, and primary color data set #5 are used as primary color data sets for the display device. is displayed.
In this embodiment, it is possible to select a plurality of primary color data sets. In FIG. 7B, the operator selects primary color data set #1, primary color data set #2, and primary color data set #5 from the selection screen. have selected.

Then, the primary color spectral distribution setting unit 106 stores the spectral distribution data of the radiant light luminance of each of the primary color data set #1, the primary color data set #2, and the primary color data set #5 selected by the operator. It is read out from the unit 113 and output to the display color calculation unit 107 .
In this embodiment, each of the primary color data sets is stored in advance in the primary color spectral radiance storage unit 113 as spectral distribution data as an intensity value for each wavelength (an intensity value as a standard value described in FIG. 7A). written and stored. This spectral distribution data is obtained by measuring the spectral radiance of already manufactured primary colors.

Further, in the present embodiment, the case where the spectral distribution data of the radiated light of each primary color combined with the backlight and the color filter of each primary color is stored is shown.
However, the spectral distribution of the spectral radiance of the radiated light in the backlight and the spectral distribution of the transmittance of the color filter of each primary color are separately written and stored in the primary color spectral radiance storage unit 113. good too.
In this configuration, the display color calculation unit 107 combines the spectral distributions of the backlight and color filters selected by the operator and uses them as the spectral distribution of the primary colors.

Returning to FIG. 1, when the spectral distribution of the primary colors is supplied from the primary color spectral distribution setting unit 106, the display color calculation unit 107 uses the color matching function of the observer, that is, the color matching function of the i-th observer. Display color tristimulus values X _r,i , Y _r,i , Z _r,i , X _g,i , Y _g,i , in functions x _i (λ), y _i (λ), z _i (λ) Z _g,i , X _b,i , Y _b,i and Z _b,i are calculated by the following equation (2).

The display color calculation unit 107 calculates the tristimulus values Xp _i,j,k , Yp _i,j,k , Zp _i, The spectral distribution d _i,j,k (λ) of the display device that approximates _{j and k} is calculated by the following equations (3) and (4).

Here, the display color calculation unit 107 calculates a vector of tristimulus values Xp _i,j,k , Yp _i,j,k , and Zp _i,j,k of the object color perceived by each observer in equation (3). , tristimulus values X _r,i , Y _r,i , Z _r,i , X _g,i , Y _g,i , Z _g,i , X Multiply the inverse matrix of _b,i , Y _b,i , Z _b,i .
Accordingly, the display color calculation unit 107 calculates the ratio r _i,j,k , the ratio g _i,j,k , the ratio between the spectral radiance of each primary color perceived by each observer and the actual spectral radiance, b Calculate each of _{i, j, and k} . The ratio r _i,j,k is the ratio corresponding to the spectral distribution of the R primary color. Also, the ratio g _i,j,k is a ratio corresponding to the spectral distribution of the G primary color. The ratio b _i,j,k is the ratio corresponding to the spectral distribution of the B primary color.

The display color calculation unit 107 calculates the ratio r _i,j,k , the ratio g By multiplying each of _{i, j, k} and the ratio b _{i, j, k} , a synthesized spectral distribution d _{i, j, k} (λ) obtained by synthesizing the spectral distributions of the primary colors perceived by the observer i is calculated. .
Then, the display color calculation unit 107 perceives the display color with the spectral distribution d _i,j,k (λ) of the display color perceived by a predetermined observer by means of the display device with the composite spectral distribution according to the following equation (5). Each of the tristimulus values Xd _i,j,k , Yd _i,j,k and Zd _i,j,k of the display color is calculated by the following equations.

When calculating a color difference, which will be described later, the display color calculation unit 107 sets each of the spectral distributions d _i,j,k (λ) perceived by each observer i to comparable numerical values. The tristimulus values Xd _i,j,k , Yd _i,j,k , and Zd _i,j,k of the display colors perceived by are fixed by a certain predetermined observer's color-matching function (5) Calculated by
This predetermined observer uses, for example, the color matching functions for each of the 2-degree field of view and the 10-degree field of view provided by the CIE, or the color matching function of any observer i selected by the operator.

The display device primary color optimizing unit 108 calculates the tristimulus values Xd _i,j,k , Yd The tristimulus values of the reference observer Xd _1,j,k , Yd _{1,j,k , Zd 1,j,k} (reference indication color tristimulus value) and the tristimulus values Xd _i,j,k , Yd _i,j,k , Zd _i,j,k of the other observer i. calculate.

In the above equation (6), in this embodiment, the display device primary color optimization unit 108 performs to find the color difference of That is, in equation (6), the tristimulus values of observer #1 (i=1) are Xp _1,j,k , Yp _1,j,k , and Zp _1,j,k .
However, the reference observer is the observer selected by the operator and used to calculate each of the tristimulus values Xd _i,j,k , Yd _i,j,k , and Zd _i,j,k of the display color. Either is fine, if any.

Then, the display device primary color optimizing unit 108 calculates the square of the difference between the tristimulus values of the observer #1 and the other observers #i (2≤i≤N) using the above equation (6). The average value of the square root (color difference ΔE*ab) is calculated as the individual difference E of the primary colors on the display device selected by the operator.

Further, the display device primary color optimizing unit 108, as a method of calculating the average value E of the color difference of the primary colors in the display device selected by the operator, is not limited to the above-described formula (6), as shown in the formula (7). # i (1≤i≤N) may be calculated from the difference between each tristimulus value and the average value of the tristimulus values.
In the expression (7), mean( ) is a function for calculating the average value in ( ) (parentheses). f( ) is a function calculated by selecting one of the sum, maximum value, variance, etc. in parentheses ( ). Also, in expression (7), the maximum value, variance, or the like may be selected and used instead of the total sum of object #j (1≤j≤M) and light source #k (1≤k≤K).
The display device primary color optimization unit 108 calculates individual differences E in the primary colors of all display devices selected by the operator, which are supplied from the primary color spectral distribution setting unit 106 .

FIG. 9 is a conceptual diagram showing how to read an example of a diagram comparing the average values of the color differences of the primary colors observed by the display device primary color optimization unit 108 .
FIG. 9(a) shows a set of color difference maps in which one block is a color difference map for each half width of the R primary color and the G primary color, which is a combination of the center wavelength and the half value width of the B primary color. Therefore, in this aggregate, the block 2011 at the upper left is the origin block, and shows the color difference map of each combination of the minimum half-value width of 10 nm for the R primary color and the minimum half-value width of 10 nm for the G primary color.

Then, the half-value width of the R primary color in the column direction in FIG. 9A is increased from the minimum half-value width of 10 nm in half-value width increments set by the operator on the setting screen in FIG. , the half-width of each of the R primaries up to a half-width maximum of 60 nm is shown.
Similarly, the half-value width of the G primary color in the row direction in FIG. 9A increases from the minimum half-value width value of 10 nm in half-value width increments set by the operator on the setting screen in FIG. , and the half-value width of each of the G primary colors up to the maximum half-value width of 60 nm is shown.
Therefore, the lower right block 2066 is the end point block, and shows the color difference map of each combination of the maximum half-value width of 60 nm for the R primary color and the maximum half-value width of 60 nm for the G primary color.

FIG. 9(b) shows the configuration of any one of the combinations of the half-value width of the R primary color and the half-value width of the G primary color in FIG. 9(a).
That is, FIG. 9(b) shows a color difference map showing the color difference for each central wavelength for each combination of the half-value widths of the R primary color and the G primary color in any of the combinations of the central wavelength and half-value width of the B primary color.
In this color difference map, the color difference for each center wavelength of each of the R primary color and the G primary color is used as the gradation. Each color difference is normalized by dividing it by the maximum color difference, which is the average value of the color differences obtained by the display device primary color optimization unit 108, and divided into 256 ranges for quantization. As the color difference (gradation) approaches "0", it approaches black in the color difference map, and on the other hand, as the color difference approaches "255", it approaches white in the color difference map.

In the color difference map of FIG. 9B, the vertical axis indicates the central wavelength (nm) of the G primary color, and the vertical axis indicates the central wavelength (nm) of the R primary color.
In this color difference map, the center wavelength of the R primary color is increased in the column direction from the minimum center wavelength value of 580 nm in units of the center wavelength width set by the operator on the setting screen of FIG. , the center wavelength of each of the R primaries up to a center wavelength maximum of 650 nm.
Similarly, in this color difference map, the center wavelength of the G primary color in the row direction is set by the operator on the setting screen of FIG. The center wavelength of each of the G primaries is shown in increments up to a center wavelength maximum of 580 nm.

FIG. 10 is a diagram showing a set of color difference maps in which the display device primary color optimization unit 108 selects printed matter as the object classification and compares the average value of the color difference of each observed primary color. Offset printing is used for the printing method of the printed matter in FIG.
FIG. 10(a) is a color difference map in which a color difference map for each half-value width of the R primary color and the G primary color in a combination of a center wavelength of 450 nm and a half-value width of 15 nm in the B primary color, in which the object classification corresponds to printed matter, is set as one block. It shows an aggregate. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described. Also, the configuration of the color difference map of each block is the same as that of FIG. 9B already described.

Therefore, in FIG. 10(a), the upper left block 3011 of the aggregate is the origin block, and shows the color difference map of each combination of the minimum half-value width of 10 nm for the R primary color and the minimum half-value width of 10 nm for the G primary color. there is
The lower right block 3066 is the end point block, and shows the color difference map of each combination of the maximum half-value width of 60 nm for the R primary color and the maximum half-value width of 60 nm for the G primary color.

FIG. 10(b) shows a color difference map for each half-value width of the R primary color and the G primary color in a combination of a central wavelength of 450 nm and a half-value width of 20 nm in the B primary color, in which the object classification corresponds to printed matter. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.
FIG. 10(c) shows a color difference map of each half-value width of the R primary color and the G primary color in a combination of a central wavelength of 450 nm and a half-value width of 30 nm in the B primary color, in which the target object classification corresponds to printed matter. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

FIG. 11 is a diagram showing the spectral radiance of the light source used when the display device primary color optimization unit 108 obtains the color difference of the primary colors of the display device. FIG. 11 shows the spectral radiance of the light source used by the object color calculator 105 to calculate the color differences in FIG. 10 already described and in FIGS. showing. In FIG. 11, the horizontal axis indicates the wavelength, and the vertical axis indicates the radiance (value obtained by normalizing the 560 nm radiance to 100 for each primary color). It can be seen that the light source used (solid line) has a different spectral distribution than the standard light A (dotted line) described as a reference or, for example, CIE standard light source D65 (dotted line), resulting in a different object color.

FIG. 12 is a diagram showing the spectral reflectance of the base material of the printed matter used when the display device primary color optimization unit 108 calculates the color difference of the display device primary colors. FIG. 12 shows the spectral reflectance of the printed matter used by the object color calculator 105 to calculate the color difference in FIG. 10 already described. In FIG. 12, the horizontal axis indicates wavelength, and the vertical axis indicates spectral reflectance (reflectance: spectral reflectance of printed matter). The spectral reflectance (reflectance) of the printed material used exhibits a substantially flat curved shape in the human visible band from 380 nm to 730 nm.

FIG. 13 shows a collection of color difference maps for which the display primary color optimizer 108 selects skin as the object classification and compares the average value of the color difference for each of the observed primaries.
The skin used to calculate the color difference in FIG. 13 is each part of the face. SOCS)” was used.
As for the environmental light source of the skin, the spectral radiance data of FIG. 11 was used in the same way as when calculating the color difference of the printed matter of FIG.
FIG. 13(a) is a color difference map in which a color difference map for each half-value width of the R primary color and the G primary color in a combination of a center wavelength of 450 nm and a half-value width of 15 nm in the B primary color, which corresponds to the skin, is set as one block. It shows an aggregate. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

Therefore, in FIG. 13(a), the upper left block 3111 of the aggregate is the origin block, and shows the color difference map of each combination of the R primary color half width minimum value of 10 nm and the G primary color half width minimum value of 10 nm. there is
The lower right block 3166 is the end point block, and shows the color difference map of each combination of the maximum half-value width of 60 nm for the R primary color and the maximum half-value width of 60 nm for the G primary color.

In addition, FIG. 13(b) shows a color difference map in which a color difference map for each half-value width of the R primary color and the G primary color in the combination of the center wavelength of 450 nm and the half-value width of 20 nm in the B primary color, which corresponds to the skin, is a color difference as one block. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.
In addition, FIG. 13C shows a color difference map of each half-value width of the R primary color and the G primary color in the combination of the center wavelength of 450 nm and the half-value width of 30 nm in the B primary color, in which the object classification corresponds to the skin. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

FIG. 14 is a diagram showing a collection of color difference maps in which the display device primary color optimization unit 108 selects paintings (for example, oil paintings) as the object classification and compares the average value of the color difference of each of the observed primary colors. be.
The painting used to calculate the color difference in FIG. 14 is an oil painting. ” was used.
For the environmental light source of the oil painting, the spectral radiance data shown in FIG. 11 was used in the same manner as when calculating the color difference of the printed matter shown in FIG.
FIG. 14(a) is a color difference map in which one block is a color difference map for each half value width of the R primary color and the G primary color in a combination of a center wavelength of 450 nm and a half value width of 15 nm in the B primary color, in which the object classification corresponds to oil painting. shows an aggregate of The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

Therefore, in FIG. 14(a), the upper left block 3211 of the aggregate is the origin block, and shows the color difference map of each combination of the R primary color half width minimum value of 10 nm and the G primary color half width minimum value of 10 nm. there is
The lower right block 3266 is the end point block, and shows the color difference map of each combination of the maximum half-value width of 60 nm for the R primary color and the maximum half-value width of 60 nm for the G primary color.

In addition, FIG. 14B shows a color difference map for each half-value width of the R primary color and the G primary color in the combination of the center wavelength of 450 nm and the half-value width of 20 nm in the B primary color, which corresponds to the object classification of oil painting, as one block. 4 shows a collection of color difference maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.
In addition, FIG. 14C shows a color difference map for each half-value width of the R primary color and the G primary color in the combination of the center wavelength of 450 nm and the half-value width of 30 nm in the B primary color, which corresponds to the object classification of oil painting, as one block. 4 shows a collection of color difference maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

FIG. 15 is a diagram showing a collection of color difference maps for which the display device primary color optimization unit 108 selects paintings (eg, watercolor paintings) as the object classification and compares the average value of the color difference of each of the observed primary colors. .
The painting used to calculate the color difference in FIG. 15 is a watercolor painting. We used the data of watercolor paintings in
For the environmental light source of the watercolor painting, the spectral radiance data in FIG. 11 was used in the same manner as in calculating the color difference of the printed matter in FIG.

FIG. 15(a) shows a color difference map in which a color difference map for each half value width of the R primary color and the G primary color in a combination of a central wavelength of 450 nm and a half value width of 15 nm in the B primary color, which corresponds to the object classification of watercolor painting, is set as one block. It shows an aggregate. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

Therefore, in FIG. 15(a), the upper left block 3311 of the aggregate is the origin block, and shows the color difference map of each combination of the R primary color half width minimum value of 10 nm and the G primary color half width minimum value of 10 nm. there is
The lower right block 3366 is the end point block, and shows the color difference map of each combination of the maximum half-value width of 60 nm for the R primary color and the maximum half-value width of 60 nm for the G primary color.

FIG. 15B shows a color difference map of each half-value width of the R primary color and the G primary color in a combination of a central wavelength of 450 nm and a half-value width of 20 nm in the B primary color, in which the object classification corresponds to a watercolor painting. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.
FIG. 15(c) shows a color difference map for each half-value width of the R primary color and the G primary color in a combination of a central wavelength of 450 nm and a half-value width of 30 nm in the B primary color, in which the object classification corresponds to a watercolor painting. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

FIG. 16 is a diagram showing a collection of color difference maps in which the display device primary color optimization unit 108 selects printed matter as the object classification and compares the average value of the color difference of each observed primary color.
The printing method of the printed material used to calculate the color difference in FIG. 16 is offset printing, and the spectral reflectance data in FIG. It was used.
As the environmental light source of the printed matter, the spectral radiance data of FIG. 11 was used, as in the case of calculating the color difference of the printed matter of FIG.
FIG. 16(a) shows a color difference map in which the color difference map for each half width of the R primary color and the G primary color in the combination of the center wavelength of 460 nm and the half value width of 15 nm in the B primary color, which corresponds to the printed material in the object classification, is set as one block. It shows an aggregate. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

Therefore, in FIG. 16(a), the upper left block 3411 of the aggregate is the origin block, and shows the color difference map of each combination of the R primary color half width minimum value of 10 nm and the G primary color half width minimum value of 10 nm. there is
The lower right block 3466 is the end point block, and shows the color difference map of each combination of the maximum half-value width of 60 nm for the R primary color and the maximum half-value width of 60 nm for the G primary color.

FIG. 16(b) shows a color difference map for each half-value width of the R primary color and the G primary color in the combination of the central wavelength of 460 nm and the half-value width of 20 nm in the B primary color, in which the target object classification corresponds to printed matter. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.
FIG. 16(c) shows a color difference map for each half-value width of the R primary color and the G primary color in the combination of the central wavelength of 460 nm and the half-value width of 30 nm in the B primary color, in which the target object classification corresponds to printed matter. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

FIG. 17 shows a collection of color difference maps for which the display primary color optimizer 108 selects skin as the object classification and compares the average color difference of each of the observed primary colors.
The skin used to calculate the color difference in FIG. 17 is each part of the face, as in FIG. We used skin data from the database for color reproduction evaluation (SOCS).
As for the environmental light source of the skin, the spectral radiance data of FIG. 11 was used in the same way as when calculating the color difference of the printed matter of FIG.
FIG. 17(a) is a color difference map in which a color difference map for each half-value width of the R primary color and the G primary color in the combination of the center wavelength of 460 nm and the half-value width of 15 nm in the B primary color, which corresponds to the skin, is set as one block. It shows an aggregate. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

Therefore, in FIG. 17(a), the upper left block 3511 of the aggregate is the origin block, and shows the color difference map of each combination of the R primary color half width minimum value of 10 nm and the G primary color half width minimum value of 10 nm. there is
The lower right block 3566 is the end point block, and shows the color difference map of each combination of the maximum half-value width of 60 nm for the R primary color and the maximum half-value width of 60 nm for the G primary color.

FIG. 17(b) shows a color difference map for each half-value width of the R primary color and the G primary color in the combination of the center wavelength of 460 nm and the half-value width of 20 nm in the B primary color, in which the object classification corresponds to skin. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.
FIG. 17(c) shows a color difference map of each half width of the R primary color and the G primary color in a combination of a center wavelength of 460 nm and a half width of 30 nm in the B primary color, which corresponds to the skin, as one block. Shows a collection of maps. The arrangement in the column direction (half width of R primary color) and row direction (half width of G primary color) in this aggregate is the same as that of FIG. 9A already described.

Comparing the color differences in the color difference maps of FIGS. 10, 13, 14, and 15, the color difference in the central wavelength band and the half-width wavelength width is It can be seen that they are significantly different.
For example, when comparing the color difference map of block 3066 in FIG. 10(a), in which the object classification is printed matter, with the color difference map of block 3266 in FIG. 14(a), in which the object classification is oil painting, the B primary color Although each of the central wavelength and the half-value width is the same, and the half-value widths of the R primary color and the G primary color are the same, the color difference corresponding to the combination of the central wavelengths of the R primary color and the G primary color is greatly different.

14 and 15, although they are the same paintings, due to the difference between oil paintings and watercolor paintings, the color difference map of block 3211 in FIG. and the color difference map of block 3311 in FIG. 15( a ), in which the object classification is watercolor, the center wavelength and half-value width of the B primary are the same, and the half-value widths of the R and G primaries are the same. are the same, the color difference corresponding to the combination of the central wavelengths of the R primary color and the G primary color is significantly different.

Next, comparing FIGS. 10 and 16, it can be seen that the classification of printed materials is the same, the half-value widths of the R and G primary colors are the same, and the half-value widths of the B primary colors are also the same. Nevertheless, the color difference corresponding to the combination of the central wavelengths of the R primary color and the G primary color is greatly different only by the difference in the central wavelength of the B primary color.
13 and 17, it can be seen that skin is the same as the object classification, the half widths of the R and G primary colors are the same, and the half widths of the B primary colors are also the same. Regardless, the color difference corresponding to the combination of the central wavelengths of the R primary color and the G primary color is greatly different only by the difference in the central wavelength of the B primary color.

Therefore, depending on the type of object classified by the object classification, or the combination of the center wavelength and the half-value width, the color difference (individual difference in perceiving color) perceived by each observer is determined by the R primary color, G It can be seen that there is a great difference depending on each combination of the center wavelength and half-value width of each of the primary color and the B primary color.
Thereby, by performing each of the object classification and the classification of the light source of the environment to be observed, the object (object) observed by the display device is classified and specified to some extent (that is, the spectral reflectance classification), and By classifying the light source of the environment to be observed (i.e., spectral radiance classification), the color difference is determined within the color difference range corresponding to each object (the allowable range of color difference that each observer can perceive as the same color). It is possible to obtain with high accuracy the range of the center wavelength and half-value width of the primary colors of the display device that can be accommodated.

FIG. 18 is a flow chart showing an operation example of processing for calculating the central wavelength and half width of the primary colors of the display device by the display device primary color design system of the present embodiment.
Step S11:
The color matching function selection unit 102 displays on the display unit 109 a selection screen for selecting a group of color matching functions (observers) used when the object color calculation unit 105, which will be described later, calculates the object color.
Then, the color-matching function selection unit 102 selects the color-matching functions x _i (λ), y _i (λ), and z _i ( λ) is read out from the color matching function storage unit 110 and output to the object color calculation unit 105 .

Step S12:
The ambient light selection unit 104 displays an environmental light source selection screen for selecting a light source (spectral distribution l _k (λ)) for observing an object, which is used when the object color calculation unit 105, which will be described later, calculates the object color. Displayed on the display unit 109 .
Then, the ambient light selection unit 104 obtains the spectral distribution l _k (λ) corresponding to the light source selected by the operator from each of the environmental light sources displayed on the display unit 109 from the ambient light spectral radiance storage unit 112. Read out and output to the object color calculation unit 105 .

Step S13:
The object classification selection unit 103 displays on the display unit 109 an object classification selection screen for selecting the spectral reflectance r _j (λ) used when the object color calculation unit 105, which will be described later, calculates the object color.
Then, the object classification selection unit 103 stores the spectral reflectance r _j (λ) of the object in the classification selected by the operator from each object classification displayed on the display unit 109 as the object spectral reflectance storage unit 111 . , and output to the object color calculation unit 105 as the object spectral reflectance.

Step S14:
The object color calculation unit 105 calculates each of the color matching functions x _i (λ), y _i (λ), and z _i (λ) of the observer observing the object, and the spectral distribution l _k of the light source in the environment observing the object. (λ) and the spectral reflectance r _j (λ) (object spectral reflectance) of the observed object, the tristimulus values Xp _{i ,} Calculate _j,k , Yp _i,j,k and Zp _i,j,k .

Step S15:
The primary color spectral distribution setting unit 106 causes the display unit 109 to display a setting screen for setting the primary colors of the display device, and provides the operator with data for combining the central wavelength and the half width for generating the distribution shape of the primary colors (Fig. 7 (a)) or data of the existing primary color distribution shape itself (corresponding to FIG. 7(b)).
Then, the primary color spectral distribution setting unit 106 stores the data of the distribution shape generated by the combination of the central wavelength and the half width set by the operator, or the primary color distribution shape of the selected display device read from the primary color spectral radiance storage unit 113. This data is associated with each of color component R, color component G, and color component B, and output as primary color spectral radiance data r(λ), g(λ), and b(λ), respectively.

Step S16:
The display color calculation unit 107 calculates the tristimulus values Xp _i,j,k and Yp _i,j,k perceived by the observer i observing the object when each of the observers i observes the display screen of the display device. , Zp _i,j,k in the image of the object on the display screen of the display device (each of the pixels, which are image constituent units constituting the image of the object), the spectral distribution d _i,j,k (λ) , the primary color spectral radiance data r(λ), g(λ), b(λ) and the color matching functions x _i (λ), y Calculated with each of _i (λ) and z _i (λ).

Then, the display color calculation unit 107 calculates tristimulus values Xd _{i ,j,k} , Yd _i,j,k , Zd _i,j,k are calculated by the formula (5) already explained.

Step S17:
The display color calculation unit 107 calculates the tristimulus values Xd _i of the display colors perceived by a predetermined observer corresponding to the spectral distributions d _i,j,k (λ) of all the observers i and the spectral distributions of the primary colors, _{j, k} , Yd _{i, j, k} , Zd _{i, j, k} are calculated, that is, for all observers i of the observers selected by the operator, the objects set or selected by the operator It is determined whether or not the calculation of the tristimulus values Xd _i,j,k , Yd _i,j,k , and Zd _i,j,k has been completed corresponding to all combinations of the distribution shapes of the light source and the light source.

At this time, the display color calculation unit 107 calculates tristimulus colors corresponding to all combinations of distribution shapes of objects and light sources set or selected by the operator for all observers i selected by the operator. When the calculation of the values Xd _i,j,k , Yd _i,j,k , and Zd _i,j,k is completed, the process proceeds to step S18.
On the other hand, the display color calculation unit 107 calculates tristimulus values corresponding to all combinations of distribution shapes of objects and light sources set or selected by the operator for all observers i selected by the operator. If the calculations of Xd _i,j,k , Yd _i,j,k , and Zd _i,j,k have not been completed, the process proceeds to step S15, where tristimulus values Xd corresponding to the remaining observer i and the primary colors Continue calculating _i,j,k , Yd _i,j,k , Zd _i,j,k .

Step S18:
The display device primary color optimization unit 108 uses the tristimulus values Xd _i,j,k , Yd _i,j,k , and Zd _i,j,k of each observer i calculated by the display color calculation unit 107 as already described. As described above, the average value E of the color difference between the observers i is calculated for each combination of the central wavelength and the half-value width of the primary color by the formula (6). Based on the color difference average value E obtained by the equation (6), the color difference as the gradation of each pixel in each of the color difference maps shown in FIGS. 10 to 18 is obtained.

Step S19:
The display device primary color optimizing unit 108 determines whether or not the calculated average value E of color differences falls within a color difference range set in advance for printed matter, painted matter, paintings, skin, fabric, etc. classified by object classification. make a judgment. At this time, the display device primary color optimizing unit 108 extracts a combination of the central wavelength and the half-value width for calculating the average value E of the color difference within the color difference range set for the object classification.
Then, the display device primary color optimizing unit 108 obtains, for each primary color, the range of the center wavelength and the half value width for which the average value E within the color difference range is calculated.

For example, when the object classification is a printed matter, the display device primary color optimization unit 108 sets the center wavelength of the R primary color to RCmin (nm) to RCmax (nm) and the half width to RWmin (nm) to RWmax (nm), and G The central wavelength of the primary color is GCmin (nm) to GCmax (nm), the half width is GWmin (nm) to GWmax (nm), and the central wavelength of the B primary color is BCmin (nm) to BCmax (nm), the half width is BWmin ( nm) to BWmax (nm).
Then, the display device primary color optimizing unit 108 writes and stores the center wavelength and half width range for each primary color, which is obtained by calculating the average value E within the extracted color difference range, in the optimized primary color spectral radiance storage unit 114.

Similarly, the display device primary color optimization unit 108 determines that the center wavelength of the R primary color is RCmin (nm) to RCmax (nm) and the half width is RWmin (nm) when the object classification is painting, painting, skin, fabric, or the like. ~ RWmax (nm), the center wavelength of the G primary color is GCmin (nm) ~ GCmax (nm), the half width is GWmin (nm) ~ GWmax (nm), the center wavelength of the B primary color is BCmin (nm) ~ BCmax ( nm), and the half width is extracted as BWmin (nm) to BWmax (nm).

As a result, the wavelength range of the center wavelength and the wavelength range of the half-value width of the R primary color, the wavelength range of the center wavelength of the G primary color and the wavelength range of the half-value width, and B The spectral distribution of the light source of the backlight and the transmission characteristics of the color filters are designed so as to satisfy each of the wavelength range of the central wavelength and the wavelength range of the half-value width of the primary colors.

In addition, corresponding to the object classification, each combination of the central wavelength and half-value width of the R primary color at which the average value E of the color difference is the minimum value, each combination of the central wavelength and half-value width of the G primary color, and B The combination of the central wavelength and the half-value width of the primary color may be used as the target value of the finally created primary color with the spectral distribution of the light source of the backlight and the transmission characteristics of the color filter as design values.
Also, if the primary color data set selected in FIG. 7B includes a combination of primary colors that provide a color difference corresponding to the color difference range set for the object classification, that combination of primary colors is applied to the display device.

As described above, according to the present embodiment, an object to be observed is classified according to the object classification (spectral reflectance is classified), and the light source (spectral distribution of spectral radiance of environmental light) of the environment in which the object is observed is specified. By doing so, it is possible to design the color difference between the observers i to be included in the color difference range provided when observing each object, so that each spectral reflectance and the observing observer Therefore, it is possible to easily design the spectral radiance of the primary colors of the display device so that the display colors can be observed in the same way among a large number of viewers i.

<Second embodiment>
A second embodiment of the present invention will be described below with reference to the drawings.
The configuration of the display device primary color design system according to the second embodiment of the present invention is the same as that of the first embodiment shown in FIG. Only the operation of the display device primary color design system according to the second embodiment, which is different from the first embodiment, will be described below.

In the first embodiment, as shown in FIG. 6, a light source for observing an object is selected from a plurality of types.
On the other hand, in the second embodiment, depending on the object classification, the characteristics of the light source in the observed environment (spectral distribution of spectral radiance) are predetermined according to the industry standard or the like, depending on the object to be observed. A light source with characteristics for observation purposes is used.

FIG. 19 is a diagram showing an example of a light source classification selection screen when observing an object displayed on the display screen of the display unit 109 by the ambient light selection unit 104 according to the second embodiment.
That is, in the second embodiment, the ambient light selection unit 104 does not use the observation light source selection screen shown in FIG. It is configured to display a screen for selecting a distribution.
In FIG. 19, the classification of the light source for observation is set according to the classification of the target object. is set.

A printed matter light source is a light source in the environment where objects classified as printed matter in object classification are observed. For example, the standard illuminant (standard light) A light source and D65 light source as specific light sources for irradiating A and D65.
The building material light source is the characteristic (the spectral distribution of the spectral radiance of the light source) as a candidate to be installed in a place such as a room using the building material.

Sunlight is a property of light sources that correspond to objects such as building materials, such as building walls, doors, and fences, that are observed outdoors.
The characteristics of the light sources in the examination room and the operating room are, for example, the light sources according to the lighting standards for the examination room and the operating room specified in the Japanese Industrial Standard "JIS Z 9110", and the examination room and operating room in general hospitals. Identify from the type of light source used in
Then, the ambient light selection unit 104 reads out the spectral distribution of the light source of the environment selected by the operator on the selection screen shown in FIG. Output to the calculation unit 105 .

As already described, the object color calculation unit 105 uses the spectral distribution of the light source supplied from the ambient light selection unit 104, the spectral reflectance supplied from the object classification selection unit 103, and the color matching function selection unit 102. The object color tristimulus values Xp _i,j,k , Yp _i,j,k , and Zp _i,j,k are calculated by each of the color matching functions.
As described above, when calculating the color difference, the display color calculation unit 107 sets each of the spectral distributions d _i,j,k (λ) perceived by each observer i to a comparable numerical value. Each of the tristimulus values Xd _i,j,k , Yd _i,j,k , and Zd _i,j,k of the display colors perceived by a given observer is fixed by a given observer's color matching function. calculate.
Then, the display device primary color optimizing unit 108 acquires the spectral distribution of the primary colors within the color difference range preset for the object classified by the object classification with respect to the difference in color difference between observers.

As described above, according to the present embodiment, as in the first embodiment, an object to be observed is classified by object classification (spectral reflectance is classified), and the light source of the environment for observing the object (environmental light By specifying the spectral distribution of spectral radiance), the color difference between observers i can be designed to fall within the color difference range provided when observing each object. To easily design the spectral radiance of the primary colors of a display device in which display colors are observed in the same way among a large number of observers i without the need to correct the spectral reflectance and the display color for each observer. becomes possible.

In addition, according to the present embodiment, according to the object classification, the characteristics of the light source (spectral distribution of spectral radiance) of the observation environment predetermined by industry standards etc., and the specific observation application Since the color difference of the display color of the display device is calculated from the object color obtained according to the characteristics of the light source used for the first embodiment, and the spectral distribution of the primary colors of the display device is obtained, compared with the first embodiment, It becomes possible to design the spectral distribution of the primary colors of the display device to make the individual differences between each of the observers i smaller.

A program for realizing the functions of the display device primary color design system of the present invention shown in FIG. 1 is recorded in a computer-readable recording medium, and the program recorded in this recording medium is read and executed by a computer system. Thus, processing may be performed to design the spectral distribution of the primary colors of the display device so that the color difference between observers falls within the color difference range set for the object. It should be noted that the "computer system" referred to here includes hardware such as an OS (Operating System) and peripheral devices. Also, the "computer system" includes a WWW (World Wide Web) system provided with a homepage providing environment (or display environment).

In addition, "computer-readable recording medium" refers to portable media such as flexible discs, magneto-optical discs, ROM (Read Only Memory), CD-ROM (Compact Disc - Read Only Memory), etc. A storage device such as a hard disk. In addition, "computer-readable recording medium" means the volatile memory (RAM (Random Access Memory)), which holds programs for a certain period of time.

Further, the above program may be transmitted from a computer system storing this program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in a transmission medium. Here, the "transmission medium" for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. Further, the program may be for realizing part of the functions described above. Further, it may be a so-called difference file (difference program) that can realize the above-described functions in combination with a program already recorded in the computer system.

Although the embodiment of the present invention has been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and design changes and the like are included within the scope of the present invention.

REFERENCE SIGNS LIST 1 display device primary color design system 101 data input unit 102 color matching function selection unit 103 object classification selection unit 104 ambient light selection unit 105 object color calculation unit 106 primary color spectral distribution setting unit 107 display color calculation unit 108 Display device primary color optimization unit 109 Display unit 110 Color matching function storage unit 111 Object spectral reflectance storage unit 112 Environmental light spectral radiance storage unit 113 Primary color spectral radiance storage unit 114 Optimized primary color spectral Radiance memory

Claims (8)

an object color calculation unit that calculates, as an object color, each color perceived by each of the color matching functions of different observers for an object belonging to a predetermined class;
Spectral distributions of the candidate primary colors that are candidates for the primary colors of the display device and each of the color-matching functions are used to obtain spectral distributions of the display device that approximate the object colors corresponding to the object colors by predetermined color-matching functions. a display color calculation unit that calculates a display color when observed with
A display device primary color design system, comprising: a display device primary color optimization unit that obtains a spectral distribution of the primary colors of the display device from the spectral distributions of the candidate primary colors based on the color difference of the display colors. 2. The display device primary color design system according to claim 1, wherein the classification includes at least one of each of printed matter, painted matter, painting, skin, and texture. 3. The display device primary color design system according to claim 2, wherein when the classification is the printed matter, the object is set in a small classification based on a combination of at least a printed base material and ink. 3. The display device primary color design system according to claim 2, wherein when the classification is the skin, the object is set in at least a small classification according to body parts. 2. The object color calculation unit, when calculating the object color, selects a light source in an environment in which the object is observed, and calculates the object color using a spectral distribution of the light source. 5. The display primary color design system according to any one of claims 4 to 4. When calculating the object color, the object color calculation unit calculates the object color using a standard light source used in an environment in which the object is observed, and using the spectral distribution of the light source. The display device primary color design system according to any one of claims 1 to 5. an object color calculation process in which the object color calculation unit calculates each color perceived by each of the color matching functions of different observers as the object color for an object belonging to a predetermined class;
The display color calculation unit calculates, from the spectral distribution of the candidate primary colors that are candidates for the light source of the primary colors of the display device and each of the color matching functions, the display device that approximates the object color corresponding to each of the object colors. a display color calculation process for calculating a display color when the spectral distribution is observed with a predetermined color matching function;
a display device primary color optimizing unit that obtains a spectral distribution of the primary colors of the display device from the spectral distributions of the candidate primary colors based on the color difference of the display color. Device primary color design method. the computer,
Object color calculation means for calculating each color perceived by each of the color matching functions of different observers as an object color for an object belonging to a predetermined class;
From the spectral distributions of the candidate primary colors that are candidates for the light sources of the primary colors of the display device and each of the color matching functions, a spectral distribution in the display device corresponding to each of the object colors and approximating the object color is determined by a predetermined equalizer. display color calculation means for calculating a display color when observed with a color function;
A program for functioning as display device primary color optimization means for obtaining a spectral distribution of the primary colors of the display device from the spectral distributions of the candidate primary colors based on the color difference of the display colors.

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