JPH11190986A - Method and device for stabilizing display characteristic formularization - Google Patents

Abstract

PROBLEM TO BE SOLVED: To make formularizable the correspondence between an input value and a display color of a display device such as a CRT display in a short time with high precision. SOLUTION: In a step 11, RGB data (Ri, Gi, Bi) (i=1 to n) are prepared as (n) groups of input values for measurement, For each of them, in a step 13, data are supplied to and displayed on the display device and in a step 14, the display colors are measured to recognize measured values. In a step 15, it is judged whether or not a measured value is within a specific range and in a step 16, only measured values within the specific range are accumulated together with the input values for measurement. After the above processes are completed as to all the input values for measurement, the correspondence between the input values and display colors is formularized with the input values for measurement and measured values which are accumulated so far.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and an apparatus for formulating the characteristics of a display device such as a CRT (cathode ray tube) display of a monochrome display or a color display, and based on the formulated characteristics of the display device. Method and apparatus for processing images. The present invention also relates to a method for formulating characteristics or a recording medium (storage medium) in which the formulated characteristics are described.

[0002]

2. Description of the Related Art To guarantee color consistency on different systems and media, a color management system (C
(MS) has become widespread, and accordingly, the need to formulate the color reproduction characteristics of display devices has increased.

At present, the most widespread color display is a CRT display. But CRT
Since the display is affected by changes over time, temperature, and the like due to the inherent characteristics of the CRT, the color reproduction characteristics also change. In addition, the display device can usually adjust the brightness and contrast, but when the adjustment is performed, the color reproduction characteristics change.

Therefore, in order to maintain the consistency of the colors displayed on the display device, the characteristics of the display device must be corrected each time the brightness or contrast is adjusted, or each time a change over time or a change due to temperature occurs. Must.

As a method of reproducing a desired color on a display device, there are generally a method of maintaining a predetermined characteristic by suppressing a change in characteristics of a display portion of the display device or a CRT in a CRT display.
There is a method of formulating and correcting the characteristics of the display device by measuring the radiant intensity or the like of the display portion every time the characteristics of the display device change or as necessary.

Japanese Patent Application Laid-Open No. Sho 54-73887 discloses a method for suppressing a change in characteristics of a display portion.
For CRT displays, a method has been shown to stabilize characteristics by sensing and controlling the cathode current of the CRT. Specifically, in this method, a pulse signal of a reference level is inserted into a section that cannot be seen on the CRT screen,
The cathode current is measured, and the contrast and brightness are controlled according to the measured value.

In general, the luminance level and spectral distribution of each color of a CRT depend on the energy emitted by the phosphor and the efficiency of the phosphor, and the energy emitted by the phosphor depends on the cathode current and anode voltage. Equivalent to the product. And since the efficiency and spectral distribution of the phosphor are hard to change in a short time, if the anode voltage is kept constant and the cathode current is controlled, the efficiency and the phosphor Characteristics that do not depend on the spectral distribution can be kept constant. In addition, the measurement of the cathode current can be performed by a simple circuit, and in the above-described method, a section that cannot be seen on the CRT screen is used.

US Pat. No. 4,500,919 discloses a method of measuring the radiant intensity of a display portion.
The specification discloses a method of measuring the light emission of a display portion by a sensor, formulating and correcting the characteristics of the display device. According to this method, every time the characteristics of the display device change, the characteristics are measured, formulated, and corrected, so that the brightness and contrast are adjusted, and the display device is not affected by the change in the characteristics and characteristics of the display portion. The consistency of the displayed colors can be maintained.

[0009]

However, in a method for controlling the cathode current, such as the method disclosed in Japanese Patent Application Laid-Open No. 54-73887, a change in efficiency due to a temporal change or temperature change of the phosphor is detected and controlled. Therefore, there is a disadvantage that the actual light emission characteristics cannot be made constant.

Further, in this method, the correspondence between the cathode current and the gamma characteristic can be kept constant, but the change due to the adjustment of the brightness and the contrast is not controlled. As a result, it is difficult to maintain the consistency of the colors displayed on the display device.

On the other hand, the method of actually measuring, formulating, and correcting the characteristics of the display device as in the method of the above-mentioned US patent basically has disadvantages such as the method of controlling the cathode current described above. There is no. However, in this method, in practice, in order to maintain the consistency of the colors displayed on the display device, it is necessary to perform actual measurement for a large number of colors.

Actually, products using this method include ErgoColor30 and LightS by Nanao Corporation.
Source Corporation's ColorTron and the like are known. In each of these products, a predetermined measurement input value exceeding 20 colors is input to a display device, and the display color of an output corresponding to each is actually measured. Formulates the characteristics of display devices.

In a display device such as a CRT display that scans a light emitting point, in order to reduce the influence of luminance change due to scanning and perform accurate measurement, a relatively long time is required between each color measurement. You need to put some time.

Further, when the amount of light input from the display device to the measuring device is small, such as when displaying black or a color close to black, the display light, or the amount obtained by electrically replacing the display light, is used for a long time. In general, measurement is performed by integrating over time, but in this process, it is difficult to perform accurate measurement because the process is affected by disturbance such as external light or noise. Therefore, there is a problem that not only a long time is required for the measurement, but also errors occur in the formulated characteristics, resulting in characteristics having many errors.

Accordingly, the present invention relates to the correspondence between input values and display colors of a display device such as a CRT display.
It is possible to formulate with high accuracy in a short time.

[0016]

According to a first aspect of the present invention, there is provided a CRT display in which a display color is controlled in accordance with an input value.
A method for formulating a correspondence between an input value and a display color, wherein a plurality of measurement input values are sequentially and temporally or spatially supplied to the CRT display to control a display color of the CRT display. A display step, a recognition step of sequentially recognizing the display color, and, of the recognition results,
A selection step of extracting only recognition results within a predetermined range,
Based on the measurement input value in the display step and the extraction result in the selection step, the correspondence between the input value and the display color is determined by using the display color calculated from the formalization result and the actual recognition result. And a formulating step of formulating so as to minimize the error with the display color.

According to a second aspect of the present invention, there is provided a method for formulating a correspondence between an input value and a display color in a display device in which a plurality of primary colors are controlled in accordance with an input value and a color is displayed. A display step of supplying the input values for measurement sequentially or temporally to the display device to control a display color of the display device, and a recognition step of sequentially recognizing the display color as a color coordinate value. A selection step of extracting only a recognition result within a predetermined range among the recognition results; an input value for measurement in the display step; and an input value and a display color based on the extraction result in the selection step. And a formulation step of formulating a correspondence between the display color and the display color calculated from the formulation of the formulation result so as to minimize an error between the display color of the actual recognition result and the display color.

According to a thirteenth aspect of the present invention, there is provided a method for formulating a correspondence between an input value and a display color of a CRT display in which a display color is controlled according to the input value, wherein a plurality of measurement input values are A display step of sequentially or temporally supplying the CRT display to control the display color of the CRT display, a recognition step of sequentially recognizing the display color, and a predetermined range of the recognition result. A selecting step of extracting only the recognition results in the step, an accumulating step of accumulating the extracted recognition results for each of the corresponding measurement input values, and a step of dividing the accumulated recognition results and the corresponding measurement input values. Based on the correspondence, a determination step of determining whether or not correspondence between the input value and the display color can be assumed, and when it is determined in this determination step that the correspondence between the input value and the display color can be assumed, a corresponding table For measurement input values that are assumed that the color does not fall within the predetermined range of the selection step, the measurement input value is excluded from the plurality of measurement input values, or the display step, the recognition step, An exclusion step for omitting the selection step and the accumulation step, and a predetermined number of times, or until a predetermined accuracy is obtained,
A repetition step of repeating each of the steps, when a predetermined number of times is reached, or when a predetermined accuracy is obtained, from the correspondence between the accumulated recognition result and the corresponding measurement input value, the input value and the display color A formulation step is provided in which the correspondence is formulated so as to minimize the error between the display color calculated from the formulation of the formulation result and the display color of the actual recognition result.

According to a fourteenth aspect of the present invention, there is provided a method for formulating a correspondence between an input value and a display color of a display device in which a plurality of primary colors are controlled in accordance with an input value and which is displayed in color. A display step of supplying the input values for measurement sequentially or temporally to the display device to control a display color of the display device, and a recognition step of sequentially recognizing the display color as a color coordinate value. A selection step of extracting only recognition results within a predetermined range among the recognition results, an accumulation step of accumulating the extracted recognition results for each corresponding measurement input value, and a step of accumulating the accumulated recognition results. And a determination step of determining whether a correspondence between the input value and the display color can be assumed based on the correspondence between the corresponding measurement input value and a correspondence between the input value and the display color in this determination step. When it is determined that, for the input value for measurement is assumed that the corresponding display color does not fall within the predetermined range of the selection step, the input value for measurement is excluded from the plurality of input values for measurement, or The display step, the recognition step, an exclusion step for omitting the selection step and the accumulation step, a predetermined number of times, or until a predetermined accuracy is obtained, a repetition step of repeating each of the steps, and a predetermined number of times, Or, when a predetermined accuracy is obtained, a formula for recognizing the color coordinates of each primary color, the gradation characteristics of each primary color, and the color mixing characteristics of each primary color from the correspondence between the accumulated recognition result and the corresponding measurement input value. First step, and, based on the recognition result in the first step of formulating, the correspondence between the input value and the display color is compared with the display color calculated from the formula of the result of the formulation. Providing a second step formulation to formulate so as to minimize an error between the display color of the recognition result when.

[0020]

In the formulation method according to the first or second aspect of the present invention, only the recognition results within a predetermined range of the display color recognition results in the recognition step are extracted in the selection step. In the conversion step, the correspondence between the input value and the display color is formulated based on the recognition result within the predetermined range.

Therefore, for example, by setting the predetermined range of the selection step as the measurable range of the display color measuring means used in the recognition step, the display color recognition result within the measurable range of the measuring means can be obtained. Only the recognition result is extracted, and the recognition result outside the measurable range of the measuring means is excluded.For example, the recognition result of the display of the color black or nearly black is excluded from the object of the formulation in the formulation step. Will be.

Therefore, it is possible to reduce errors caused by the influence of disturbances such as external light and noise, and to avoid taking a long time for measurement.
The correspondence between input values and display colors can be formulated in a short time and with high accuracy.

In this case, as a method of extracting only a recognition result within a predetermined range in the selection step, when a correspondence between an input value and a display color is assumed in advance, a plurality of display values corresponding to a plurality of measurement input values are displayed. A method that does not include a measurement input value that is assumed that a color does not fall within a predetermined range of the selection step, or a corresponding display color of a plurality of measurement input values does not fall within a predetermined range of the selection step. For the input values for measurement assumed to be, a method of omitting the display step, the recognition step, and the selection step can be adopted.

According to the above-mentioned method, the formalizing method according to the thirteenth aspect of the present invention is applied to a CRT display having, for example, 0
From the input values (R, G, B) of the three colors RGB (red, green, blue) with the tristimulus values (X, Y, Z) of the surface luminance displayed on the CRT display (cd / This is a case where the correspondence with m ² ) is formulated. However, as for the input values (R, G, B) of the three colors, it is assumed that 0 is the darkest and 255 is the brightest. Hereinafter, this case will be described with reference to FIG.

First, at step 11, n sets of measurement input values (Ri, Gi, Bi) (i = 1 to n) are prepared. Next, the n sets of measurement input values (Ri, Gi, B
i) For each of (i = 1 to n), the correspondence between the input value for measurement and the measured value is accumulated by the following steps.

First, in step 41, it is determined whether a display color corresponding to a measurement input value can be predicted. For example, if the characteristics of the CRT display have been formulated immediately before, from the formulated characteristics,
The characteristics at that time can be assumed, and the corresponding display color can be predicted. In addition, by that time, the characteristics can be formulated from the results of recognition and accumulation as described later, and the corresponding display color can be predicted from the formulated characteristics in some cases.

If it is determined in step 41 that the corresponding display color can be predicted, then in step 31 the corresponding display color is predicted from the characteristics formulated immediately before, or by that time. From the results of recognition and accumulation, the characteristics are formulated, and from the formulated characteristics,
The corresponding display color is predicted, and the process further proceeds to step 32 to determine whether or not the predicted value is within a predetermined range, for example, a measurable range of the measuring instrument.

If it is determined in step 41 that the corresponding display color cannot be predicted, or if it is determined in step 32 that the predicted value is within a predetermined range, then in step 13, the input value for measurement is converted to a CRT. The color is supplied to the display, and the color corresponding to the input value for measurement is displayed on the CRT display. Then, in step 14, the displayed color is actually measured by, for example, a measuring instrument, and the measured value is recognized. In step 15, it is determined whether the measured value is within a predetermined range, for example, a measurable range of the measuring instrument.

When it is determined in step 15 that the measured value is within the predetermined range, in step 16, the tristimulus values (Xi, Yi, Zi) of the measured value are converted into the input values for measurement (Ri, Gi). , Bi), and when it is determined in step 32 that the predicted value is out of the predetermined range, steps 13 to 16 are not executed, and step 15 is executed.
When it is determined that the measured value is out of the predetermined range, step 16 is not executed.

All input values for measurement (Ri, Gi, B
i) After performing the above processing for (i = 1 to n), in step 19, the correspondence between the input values of the CRT display and the display colors is formulated from the measurement input values and the measurement values accumulated so far. I do.

According to this method, it is possible to avoid the measurement of the display color outside the measurable range of the measuring instrument, such as when displaying a color close to black or black, and in particular, in the case of a CRT display, Due to the characteristics, measurement can be performed in a short time and with high accuracy.

R, G, and B are mutually linearly independent of the spectral distribution, tristimulus value, and emission intensity b of each of R, G, and B.
And the input value u are represented by b = a (u + 1) γ + c (10) by an appropriate gamma coefficient γ and constants a and c.

Each of R, G, and B has a constant spectral distribution and chromaticity regardless of the input value. For example, the tristimulus value Xr (Ri) of the surface luminance of the red component according to the red input value Ri. ,
Yr (Ri) and Zr (Ri) are as follows: Xr (Ri) = xr · ar (Ri + 1) γr + Xrd (21) Yr (Ri) = yr · ar (Ri + 1) γr + Yrd (22) Zr (Ri) = (1) −xr−yr) · ar (Ri + 1) γr + Zrd (23)

Where (xr, yr, zr) is the chromaticity of red, γr is the gamma coefficient of red, ar is the gradient of red, and (Xr
d, Yrd, Zrd) are red black level correction values. Green and blue are similarly represented. However, the surface luminance of each of the RGB components shown here is not the surface luminance actually displayed on the CRT screen, but the actually displayed surface luminance is a result of color mixing of the RGB components.

In general, for R, G and B, additive color mixture is established, and the tristimulus values (Xi, Yi, Zi) are as follows: Xi = Xr (Ri) + Xg (Gi) + Xb (Bi) (31) Yi = Yr (Ri) + Yg (Gi) + Yb (Bi) (32) Zi = Zr (Ri) + Zg (Gi) + Zb (Bi) (33)

From the above properties, the correspondence between the input values of the CRT display and the display colors can be formulated by obtaining the following constants in the above equations. xr, yr: xy chromaticity of red xg, yg: xy chromaticity of green xb, yb: xy chromaticity of blue γr: gamma coefficient of red γg: gamma coefficient of green γb: gamma coefficient of blue ar, ag, ab : Red, green, and blue gradients Xrd, Yrd, Zrd: Minimum level correction value of red, which is approximately the same as (Xr, Yr, Zr) regardless of red input value Ri. Xgd, Ygd, Zgd: The minimum level correction value for green, which is approximately equal to (Xg, Yg, Zg) regardless of the green input value Gi. Xbd, Ybd, Zbd: The lowest level correction value of blue, which is approximately equal to (Xb, Yb, Zb) regardless of the blue input value Bi.

Among them, the lowest level correction value is determined from the actual measurement value when the input values (Ri, Gi, Bi) are all 0, that is, when black is generally displayed.
However, in actuality, as described above, the black display on the CRT display may be out of the measurable range and cannot be measured depending on the measuring instrument.

Therefore, according to the present invention, such a measurement value outside the measurable range of the measuring instrument is excluded, and only the measured value within the measurable range of the measuring instrument is calculated from the formula of the result of the formulation. The correspondence between the input value and the display color is formulated so that the error between the display color and the display color of the actual recognition result is minimized.

In the actual measurement, if the xy chromaticity of each color is known, for example, (Ri, Gi, Bi) = (127, 1)
27, 127) is supplied to a CRT display and displayed. When a measured value (Xi, Yi, Zi) within the measurable range of the measuring instrument is obtained, Xi-Xrd-Xgd is obtained from the above equation. −Xbd = xr · ar (127 + 1) γr + xg · ag (127 + 1) γg + xb · ab (127 + 1) γb (41) Yi−Yrd−Ygd−Ybd = yr · ar (127 + 1) γr + yg · ag (127 + 1) γg + Yb · ab (127 + 1) γb (42) Zi−Zrd−Zgd−Zbd = yr · ar (127 + 1) γr + yg · ag (127 + 1) γg + yb · ab (127 + 1) γb (43)

FIG. 10 shows the chromaticity of each color.
When described using a matrix A shown in equation (51) of (A),
Equation (52) in FIG. 10B is obtained. Here, zr = 1−xr−yr (61) zg = 1−xg−yg (62) zb = 1−xb−yb (63) Here, since the chromaticity of each color is linearly independent, there is an inverse matrix of the matrix A, and the expression (5) in FIG.
3).

From this correspondence and the chromaticity of each color, if one point within the measurable range of the measuring device is measured, the same result as that obtained by measuring a total of three points, one point for each color, can be obtained. it can. As a result, it is possible to greatly reduce the number of measurement points or to obtain the same accuracy as performing more measurements with the same number of measurement points. Note that (Ri, Gi,
Bi) = (127, 127, 127) can be calculated in the same manner using input values other than (127, 127, 127).

In order to perform the above correction, the minimum level correction values (Xrd, Yrd, Zrd), (Xgd, Y
gd, Zgd) and (Xbd, Ybd, Zbd), which are displayed on a CRT display in black,
That is, when the input value is (Ri, Gi, Bi) = (0, 0,
It is determined based on the measurement result at the time of 0).

However, a general computer CRT
The black display with the display set as a standard in a dark room,
An object that emits little light and is not visible can be converted to a general spectral radiance meter (for example, PR7 manufactured by PhotoResearch).
Assuming that the measurement is performed according to 14), the surface luminance to be measured may be outside the measurable range of the measuring instrument, and the error may become extremely large or the measurement may not be possible.

Therefore, according to the present invention, the minimum level correction value of each color is determined only by the measurement value within the predetermined range, excluding the measurement value outside the predetermined range, such as outside the measurable range of the measuring instrument. The determination is made so that errors at other measurement points are reduced.

As described above, the color mixing characteristics of the CRT display are additive color mixing, so that when the target display device is a CRT display, the step of recognizing the color mixing characteristics can be omitted. Some reflective liquid crystal displays also have additive color mixture characteristics. In such a case, the step of recognizing the color mixture characteristics can be omitted.

A CRT capable of controlling the gamma characteristic disclosed in the above-mentioned JP-A-54-73887.
For displays, it is also possible to use the gamma characteristics after control in the formulation, in which case the number of measured points is reduced or the number of measured points is increased for the same number of measured points, since the number of coefficients required to be determined is reduced. , It is possible to obtain the same accuracy as performing

In the formalizing method according to the fourteenth aspect of the present invention, in the formalizing step, the color mixing characteristics of the target display device are recognized, and the same as the formalizing method according to the thirteenth aspect. The correspondence between the input values of the display device and the display colors can be formulated.

[0048]

DESCRIPTION OF THE PREFERRED EMBODIMENTS [System Configuration] FIG. 1 shows a system configuration in which a method for formulating display characteristics according to the present invention is carried out. The formalizing device 2 is connected, an input value for measurement is supplied to the display device 1, the measuring device 3 is arranged on the display device 1, the display light of the display device 1 is measured, and the measured value is displayed on the display device. Incorporated into the characteristic formulation device 2,
The characteristics of the display device 1 are formulated. However, as described later, the display color of the display device 1 can be recognized without actually measuring the display light of the display device 1 with the measuring device 3.

For example, in the case of a CRT display, the display device 1 includes, in addition to a CRT as a display portion, a device section for applying a high voltage or the like thereto,
And a device section for performing deflection scanning and convergence of the laser beam.

The display characteristic formulating device 2 has a CP
U, a storage unit in which a processing routine to be described later to be executed by the CPU and necessary data are written, a storage unit for working of the CPU, and a storage unit in which formalized characteristics are written. It is provided with a DA converter or the like that converts the input value for measurement as generated digital data into an analog signal.

[Basic Method of Formulation] FIG. 2 shows a basic method of formulation in the present invention, which is common to the first, second and third embodiments described later.

In this formulation routine, first, step 1
In step 1, n or n sets of measurement input values as described later are prepared. Next, in step 12, the number i (= 1 to n) of the measurement input values is set to 1, and then in step 13, The measurement input value of the number i is supplied to the display device, and a color corresponding to the measurement input value is displayed on the display device. Then, in step 14, the display color is measured to recognize the measurement value. Then, in step 15, it is determined whether or not the measured value is within a predetermined range.

If the measured value is within the predetermined range, the process proceeds to step 16, accumulates the measured value and the corresponding input value for measurement, and proceeds to step 17, where the measured value is If it is out of the range, the process proceeds from step 15 to step 17 without accumulating the measured value and the input value for measurement.

In step 17, the number i of the input value for measurement
Is incremented by 1 and then proceeds to step 18 to determine whether or not i has exceeded n. If i has not exceeded n, the flow returns to step 13 and the measurement input of the incremented number i is performed. For the values, supply and display of the input values for measurement on the display device in step 13, measurement of the display color and recognition of the measured values in step 14, step 1
The determination of whether the measured value is within the predetermined range in 5 and the accumulation of the input value for measurement and the measured value in step 16 when the measured value is within the predetermined range are repeated.

The above processing is performed for all the measurement input values, and when it is determined in step 18 that i has exceeded n, the process proceeds to step 19, in which the measurement input values and measurement values accumulated so far are calculated. From the values, the correspondence between the input values of the display device and the display colors is formulated. in this case,
As will be described later, the formulation is performed so that the difference between the display color calculated from the formulation of the formulation result and the actually recognized display color is minimized.

[Embodiment 1] An example of the first aspect of the present invention will be described as Embodiment 1 with reference to FIG.

In the first embodiment, the display device is a CR
This is a case where the correspondence between the brightness input value L of the CRT display from 0 to 255 and the tristimulus value of the surface luminance displayed on the CRT screen is formulated on the T display. However, the brightness input value L is darkest at 0 and 255
Is the brightest.

In the first embodiment, first, in step 11, as n measurement input values, in this case, as brightness input values Li (i = 1 to n), for example, five data, L1 = ( 0), L2 = (63), L3 = (127), L4 = (191), L5 = (255). Then, for each of them, steps 13 to 16 are executed as follows.

In step 13, the CRT display is placed in the dark, data Li (i = 1 to 5) is supplied to the CRT display, and a color corresponding to the data Li is displayed on the CRT display.

In step 14, the color displayed under the darkness is actually measured under a darkness by a spectral radiance meter capable of measuring a luminance of 0.1 (cd / m ² ) or more, and the measured result is measured according to JIS. (Japanese Industrial Standards)-The tristimulus values (Xi, Yi, Zi) are obtained by integrating the 2-degree visual color matching function of -Z8724.

In steps 15 and 16, Yi is set to 0.1.
Tristimulus value (Xi, Yi, Zi) not less than (cd / m ² )
Is accumulated together with the measurement input value Li as a measurement value within a predetermined range.

Then, after executing steps 13 to 16 for all the measurement input values, in step 19, the accumulated measurement input values Li and tristimulus values (Xi, Y
i, Zi), the surface luminance displayed on the CRT display is formulated as a linear function of the lightness input value L. In this case, the XYZ of the surface brightness calculated from the formula of the formulation result and the surface brightness of the actually recognized result is used.
The average value of the Euclidean distance between the measurement input values is used as an error, and the error is differentiated by each coefficient so that the error is minimized, and a differential equation for each coefficient is constructed. Calculate the coefficients and formulate them using the coefficients.

[Embodiment 2] An example of the second aspect of the present invention will be described with reference to FIG.

In the second embodiment, the display device is a CR
The color display is not limited to the T display, and the input values (R, G, B) of the three colors RGB of the display device and the tristimulus values (X, X) of the surface luminance displayed on the display device are displayed. , Y, Z) is formulated. However, as for the input values (R, G, B) of the three colors, it is assumed that 0 is the darkest and 255 is the brightest.

In the second embodiment, first, in step 11, n sets of measurement input values, in this case, n sets of 3
As the input values (Ri, Gi, Bi) (i = 1 to n) of the color, for example, seven sets of data, (R1, G1, B1) = (0, 0, 0), (R2, G2, B2) = (255, 0, 0), (R3, G3, B3) = (0, 255, 0), (R4, G4, B4) = (0, 0, 255), (R5, G5, B5) = ( 63, 127, 191), (R6, G6, B6) = (191, 63, 127), (R7, G7, B7) = (127, 191, 63). Then, for each of them, steps 13 to 16 are executed as follows.

In step 13, the display device is placed in the dark, and data (Ri, Gi, Bi) (i = 1 to
7) is supplied to a display device, and a color corresponding to the data (Ri, Gi, Bi) is displayed on the display device.

In step 14, the color displayed in the dark is actually measured in the dark by a spectral radiance meter capable of measuring a luminance of 1.0 (cd / m ² ) or more. Integrate the 2-degree visual color matching function of -Z8724 to obtain tristimulus values (Xi, Yi, Zi).

In steps 15 and 16, Yi is 2.0
Tristimulus value (Xi, Yi, Zi) not less than (cd / m ² )
Is set as a measurement value within a predetermined range, and a measurement input value (Ri,
Gi, Bi).

After executing steps 13 to 16 for all the measurement input values, in step 19, the accumulated measurement input values (Ri, Gi, Bi) and tristimulus values (Xi, Yi, Zi) are obtained. ), The surface luminance displayed on the display device is changed to the input values (R,
G, B). Also in this case, as in the first embodiment, a formula is formulated so that the above-described error is minimized.

In this case, the use of a function satisfying additive color mixture instead of the linear function is an embodiment of the invention of claim 5, and the use of a function satisfying subtractive color mixture is an embodiment of claim 6 of the present invention. This is an example. Formulations for achieving additive color mixing include the linear function shown here and the form shown in the column of the above-mentioned action. As a formulation for which subtractive color mixture is established, it is known that CMY (Sian, Magenta, Yellow), which is a complementary color of RGB, is used as a primary color and the product of the reflectance and transmittance of the three CMY colors for each spectrum. Have been.

[Embodiment 3] Another embodiment of the invention of claim 2 is
Example 3 will be described with reference to FIG.

In the third embodiment, the input values (R, G, B) of the three colors R, G, and B of the display device, respectively, and the tristimulus values (X, (Y, Z) is formulated.

Also in the third embodiment, first, in step 11, n sets of measurement input values (Ri, Gi, Bi) (i = 1
~ N), for example, seven sets of data similar to the second embodiment, (R1, G1, B1) = (0, 0, 0), (R2, G2, B2) = (255, 0, 0), (R3, G3, B3) = (0, 255, 0), (R4, G4, B4) = (0, 0, 255), (R5, G5, B5) = (63, 127, 191), (R6 , G6, B6) = (191, 63, 127), (R7, G7, B7) = (127, 191, 63). Then, for each of them, steps 13 to 16 are executed as follows.

In step 13, as in the second embodiment, the display device is placed in the dark and the data (Ri, G
i, Bi) (i = 1 to 7) is supplied to the display device, and a color corresponding to the data (Ri, Gi, Bi) is displayed on the display device.

In step 14, unlike the second embodiment,
The observer adjusts the reference light without actually measuring the color displayed in the dark, and makes the color equal to the displayed color, so that the tristimulus value (Xi) of the adjusted surface luminance of the reference light is obtained. ,
Yi, Zi), and the result is input to the display characteristic formulation device and recognized by the display characteristic formulation device.

In steps 15 and 16, as in the second embodiment, the tristimulus value (X) where Yi is 2.0 (cd / m ² ) or more
i, Yi, Zi) are accumulated together with the measurement input values (Ri, Gi, Bi) as measurement values within a predetermined range.

Then, after executing steps 13 to 16 for all the measurement input values, in step 19, similarly to the second embodiment, the accumulated measurement input values (R
i, Gi, Bi) and the tristimulus values (Xi, Yi, Zi), the surface brightness displayed on the display device is calculated as
Formulated as a linear function of the input values (R, G, B) of the three colors so that the above-described error is minimized.

[Embodiment 4] FIG. 3 shows a fourth embodiment of the present invention.

Embodiment 4 is an example of a case where the color mixing characteristics of the display device are known and the recognition of the color mixing characteristics is not required, as in the case of formulating the characteristics of the CRT display. Prepare input values for measurement,
Steps 13 to 13 for each of the n sets of measurement input values
Until step 16 is executed, the second embodiment shown in FIG.
Or the same as 3.

In the fourth embodiment, after executing Steps 13 to 16 for all the measurement input values, in Step 19A, the color coordinates of each primary color and each of the primary colors are calculated from the accumulated measurement input values and measurement values. The gradation characteristics of the primary colors are recognized, and in step 19B, the correspondence between the input values of the display device and the display colors is formulated from the recognized color coordinates of each primary color and the gradation characteristics of each primary color.

The radiance of each color of RGB in the XYZ space is expressed as follows for red: Xr (Ri) = xr · ar (Ri + 1) γr + Xrd (21) Yr (Ri) = yr · ar (Ri + 1) γr + Yrd ( 22) Zr (Ri) = (1−xr−yr) · ar (Ri + 1) γr + Zrd (23) Here, the color coordinates are xr, yr and zr
= (1−xr−yr), and the gradation characteristic is a
denoted by r and γr. The same applies to green and blue.

In step 19A, the coefficients indicating the color coordinates of each of the RGB colors, ie, the red color coordinates, are calculated from the accumulated input values for measurement and the measured values.
Calculate r and zr = (1−xr−yr). When the recognition result of the display color is out of the predetermined range, for example, when black is displayed by the data (R1, G1, B1) = (0, 0, 0), the error in the recognition result of the other display colors is reduced. Then, each coefficient is determined.

In this case, since the color mixing characteristics of the display device are known, as shown in the column of action, three colors, one for each of the RGB colors, were recognized by recognizing the display color of one point of the mixed color. The same result as can be obtained.

Further, in step 19A, based on the recognition result of the color coordinates of each of the RGB colors, a coefficient indicating the gradation characteristics of each of the RGB colors, that is, the above ar and γr are calculated for the red gradation characteristics. .

In step 19B, the correspondence between the input values of the display device and the display colors is formulated by substituting the coefficients calculated in step 19A as described above into the equations shown in the operation column. I do.

[Embodiment 5] FIG. 4 and FIG.
An example of the invention is shown as a fifth embodiment.

Embodiment 5 is an example of a case where the display device cannot determine in advance what kind of color mixture characteristics it is. For example, when the display device shows any one of additive color mixture and subtractive color mixture, This is a case in which the characteristic is formalized by recognizing that

FIG. 4 shows the overall routine. First, at step 21, the formalizing routine shown in FIG.
Formulate the characteristics assuming additive color mixing.

The formulation routine of FIG.
Then, n sets of measurement input values are prepared, and for each of the n sets of measurement input values, until steps 13 to 16 are executed, the same as in the fourth embodiment shown in FIG. After the steps 13 to 16 are executed for the input values, in step 19C, as in step 19A of the fourth embodiment, the color coordinates of each primary color and the gradation characteristics of each primary color are recognized. , Ie, FIG.
In step 21, the additive color mixture is recognized. Further, in step 19 D, the correspondence between the input value of the display device and the display color is determined from the color coordinates of each primary color, the gradation characteristics of each primary color, and the color mixture characteristics of each color. Formulate.

In the overall routine of FIG.
In 2, the characteristics are formulated by assuming subtractive color mixing by the formulation routine of FIG. That is, at this time,
In the formulation routine of FIG. 5, the subtractive color mixture is recognized as the color mixture characteristic of each primary color, and the correspondence between the input value of the display device and the display color is formulated based on the subtractive color mixture.

In the overall routine of FIG.
3, the display color calculated from the formula of the formulation result and the display color of the actually recognized result for each of the case where additive color mixture is assumed in step 21 and the case where subtractive color mixture is assumed in step 22 Is calculated.
The error may be calculated between input values for color measurement used for measurement, such as between input values for XYZ measurement, but may be calculated on a uniform color space such as CIE (International Commission on Illumination) L ^* a ^* b ^* space. It may be calculated.

Next, in step 24, it is determined which color mixing characteristic the error is smaller,
If the error assuming additive color mixing is smaller,
Proceeding to step 25, the color mixing characteristic of the display device is determined to be additive color mixing, and a formula resulting from the formulation assuming additive color mixing is selected, and when the error assuming subtractive color mixing is smaller, Proceeding to step 26, the color mixing characteristics of the display device are determined to be subtractive color mixing, and a formula resulting from the formulation when the subtractive color mixing is assumed is selected.

According to the fifth embodiment, the characteristics of the display device can be formulated even if it is not known in advance whether the color mixture characteristics of the display device are additive color mixture or subtractive color mixture.

[Embodiment 6] FIG. 6 shows an embodiment of the invention of claim 7 as Embodiment 6.

In the sixth embodiment, when the previous characteristics of the display device are grasped by some method, for example, the method of the second embodiment shown in FIG. RGB three color input values (R, G,
This is a case where the correspondence between B) and the tristimulus values (X, Y, Z) of the surface luminance displayed on the display device is formulated.

In the sixth embodiment, first, in step 11A, n sets of measurement input values (Ri, Gi, Bi) (i = 1
~ N), for example, seven sets of data similar to the second embodiment, (R1, G1, B1) = (0, 0, 0), (R2, G2, B2) = (255, 0, 0), (R3, G3, B3) = (0, 255, 0), (R4, G4, B4) = (0, 0, 255), (R5, G5, B5) = (63, 127, 191), (R6 , G6, B6) = (191, 63, 127), (R7, G7, B7) = (127, 191, 63).

Next, in step 11B, for each of the seven sets of measurement input values (Ri, Gi, Bi) (i = 1 to 7), based on the previous characteristics, that is, the result of the previous formulation , Tristimulus values (Xi, Yi, Zi) of the surface luminance displayed on the display device are calculated, and seven sets of measurement input values (Ri, G) are calculated based on the calculated values.
Of the i, Bi) (i = 1 to 7), the input values for measurement whose corresponding display colors are predicted to be outside the measurable range of the measuring instrument are excluded from the set of input values for measurement. As a result, the remaining measurement input values are m sets (m ≦ n, in the above example, m
≦ 7).

In this case, since the previous characteristic does not always match the characteristic to be formulated, for example, the range of the input value predicted to be out of the measurable range is set to １ ／ of the actual range. The remaining measurement input values may be extracted with an appropriate margin such as compression.

For convenience, let the number of the remaining measurement input values be i as before, for example, if the data (R, G, B) = (0,0,0) for displaying black is excluded , The remaining measurement input values are (R1, G1, B1) = (255, 0, 0), (R2, G2, B2) = (0, 255, 0), (R3, G3, B3) = (0, 0, 255), (R4, G4, B4) = (63, 127, 191), (R5, G5, B5) = (191, 63, 127), (R6, G6, B6) = ( 127, 191, 63).

Then, this new measurement input value (Ri,
Gi, Bi) (i = 1 to m), the steps 13 to 16 are executed in the same manner as in the second embodiment, and the steps 13 to 16 are executed for all the measurement input values. Similarly, step 19 is executed to formulate a new characteristic.

Seventh Embodiment FIG. 7 shows another embodiment of the seventh aspect of the present invention.

In the seventh embodiment, the input values (R, G, B) of the three colors R, G and B of the display device and the tristimulus values (X, Y, Z) is a case where the correspondence with the display device is formulated.
This is an example of a case where the display device for a general computer is set as a standard in a dark room, and a black display is a display device that emits almost no light.

In this case, the color displayed on the display device is a general spectral radiance meter (for example, PhotoR).
esrarch PR714). When the input values (R, G, B) of the three colors are (0, 0, 0) in the display device in the above setting state, the surface luminance is 0.1 (cd / m ² ) or less. However, there is a case where the measurement cannot be performed by the above general spectral radiance meter.

As described above, in the seventh embodiment, first, step 1
1, n sets of measurement input values (Ri, Gi, Bi)
Assuming that (i = 1 to n), (R, G, B) = (0, 0,
For example, six sets of data excluding (0), (R1, G1, B1) = (255, 0, 0), (R2, G2, B2) = (0, 255, 0), (R3, G3, B3) = (0,0,255), (R4, G4, B4) = (63,127,191), (R5, G5, B5) = (191,63,127), (R6, G6, B6) = (127,191,63) is prepared.

Steps 13 to 16 are executed for each of them in the same manner as in the second embodiment. Steps 13 to 16 are executed for all the input values for measurement, and then step 19 is executed in the same manner as in the second embodiment And formulate the characteristics.

However, in step 14, the display color is measured by a general spectral radiance meter as described above. In this case, the display colors of the above six sets of data other than the excluded (R, G, B) = (0, 0, 0) are within the measurable range of a general spectral radiance meter. Step 1
Step 5 is omitted, and in step 16, all the measured values are
The information may be accumulated together with the measurement input value.

[0107] In some measuring instruments, the measurable range is defined by the brightness. Therefore, the measurable range in step 15 can be defined as a range exceeding a predetermined level of brightness. Is an embodiment of the invention of claim 9.

Further, as in the seventh embodiment, when the step 14 of recognizing a display color comprises a step of actually measuring a display color by a measuring instrument and a step of recognizing the result of the measurement, This is an embodiment of the present invention.

Further, as in the seventh embodiment, when the predetermined range in step 15 for judging whether or not the display color is within the predetermined range is the measurable range of the measuring instrument, the method according to claim 11 is performed. It is an embodiment of the invention.

As an example of the twelfth aspect of the present invention, in step 15, whether or not the display color is within the measurable range is determined by a signal indicating whether or not the display color is within the measurable range from the measuring instrument. The determination may be made, or whether or not the display color is within the measurable range may be determined from the measurement value from the measuring device.

[Eighth Embodiment] FIG. 8 shows an eighth embodiment of the present invention.

In the eighth embodiment, similar to the sixth embodiment, when the previous characteristics of the display device are grasped by any method, for example, the method of the second embodiment shown in FIG. This is the case where the characteristics of the display device are subsequently formalized, and the display color is actually measured by the measuring device, and the predetermined range in step 15 is the measurable range of the measuring device as in the case of the sixth and seventh embodiments. is there.

In the eighth embodiment, first, in step 11, n sets of input values for measurement (Ri, Gi, Bi) (i = 1
For example, seven sets of data similar to those of the second and sixth embodiments are prepared.

Next, in step 12, the number i of the input value for measurement is set to 1, and in step 31, the input value for measurement of the number i is determined based on the previous characteristic.
The surface stimulus tristimulus value (X
i, Yi, Zi), that is, the corresponding display color is predicted, and then in step 32, it is determined whether or not the predicted value is within the measurable range of the measuring instrument.

When the predicted value is within the measurable range of the measuring instrument, steps 13 to 16 are executed for the measurement input value of the number i, and the steps 16 or 15 are executed.
When the predicted value is outside the measurable range of the measuring instrument, the process proceeds from step 32 to step 17 without executing steps 13 to 16 for the measurement input value of the number i.

In step 17, the number i of the input value for measurement is
Is incremented by 1 and then proceeds to step 18 to determine whether or not i has exceeded n. If i has not exceeded n, the flow returns to step 31 and the input for measurement of the incremented number i is performed. For each value, the corresponding display color is predicted in step 31; whether the predicted value is in the measurable range of the measuring device in step 32; and the predicted value is in the measurable range of the measuring device. Step 13, if any
Steps 16 to 16 are repeated.

The above processing is performed for all the measurement input values, and when it is determined in step 18 that i has exceeded n, the process proceeds to step 19, in which the measurement input values and measurement values accumulated so far are obtained. Formulate new characteristics from the values.

As in Embodiment 6, the previous characteristics and
Since the characteristics to be formalized from now on do not always match, in step 32, an appropriate range such as compressing the range of the predicted value determined to be out of the measurable range to half of the actual range is used. A margin may be provided to determine whether or not the predicted value is within the measurable range of the measuring device.

Since the measured value recognized in step 14 is assumed to be within the measurable range of the measuring instrument,
Step 15 may be omitted, and in step 16, the measured value recognized in step 14 may be accumulated as it is with the input value for measurement.

[Embodiment 9] FIG. 9 shows an embodiment 9 of the present invention.

In the ninth embodiment, when the display color corresponding to the input value for measurement can be predicted based on the previous characteristics being grasped or from the result accumulated up to a certain point, the corresponding display color is predicted. When the input value for measurement whose predicted value is out of the predetermined range is not displayed and measured, the display color is actually measured by the measuring device, and the predetermined range in step 15 is the measurable range of the measuring device. It is.

In the ninth embodiment, first, in step 11, n sets of measurement input values (Ri, Gi, Bi) (i = 1
To n) are prepared. Next, in step 12, the number i of the input value for measurement is set to 1, and in step 41, it is determined whether or not the display color corresponding to the input value for measurement of the number i can be predicted. to decide.

When the corresponding display color can be predicted, the corresponding display color is predicted in step 31 and the process proceeds to step 32 to determine whether or not the predicted value is within the measurable range of the measuring instrument. to decide.

When the corresponding display color cannot be predicted, or when the predicted color can be predicted and the predicted value is within the measurable range of the measuring instrument, steps 13 to 16 are executed, and the process proceeds to step 17 to proceed to step 17. When the display color to be performed can be predicted and the predicted value is out of the measurable range of the measuring instrument, the process proceeds to step 17 without executing steps 13 to 16.

In step 17, the number i of the input value for measurement is
Is incremented by 1 and then proceeds to step 18 to determine whether or not i has exceeded n. If i has not exceeded n, the flow returns to step 41 and the input for measurement of the incremented number i is performed. Steps 41, 31,
32, 13 to 16 are repeated.

The above processing is performed for all the measurement input values, and when it is determined in step 18 that i has exceeded n, the flow advances to step 19, where the measurement input values and measurement values accumulated so far are obtained. From the values, the correspondence between the input values and the display colors is formulated. Also in this case, the formula is formulated so that the above-described error is minimized.

Since the measured value recognized in step 14 is assumed to be within the measurable range of the measuring instrument,
Step 15 may be omitted, and in step 16, the measured value recognized in step 14 may be accumulated as it is with the input value for measurement.

Also, since the previous characteristic or the characteristic in the middle does not always match the characteristic to be finally formulated, in step 32, for example, the predicted value of the predicted value determined to be out of the measurable range is determined. It is also possible to determine whether or not the predicted value is within the measurable range of the measuring instrument by giving an appropriate margin, for example, by compressing the range to half of the actual range.

Here, the order of the n sets of measurement input values prepared in step 11 is set to at least “the recognition result is assumed to be out of the predetermined range, or the probability that the recognition result is out of the predetermined range is considered to be high”. If one set of input values is arranged such that at least one set of input values precedes the set of input values, "the recognition result is assumed to be within a predetermined range or the probability of being outside the predetermined range is low", This is an embodiment of the invention of claim 15.

Further, the order of the n sets of measurement input values is sequentially set in advance from the input values “the recognition result is assumed to be within a predetermined range or the probability of being outside the predetermined range is low”. An example of the invention according to the sixteenth aspect is provided by arranging the input values such that the recognition result is assumed to be out of the predetermined range or the probability that the recognition result is out of the predetermined range is high.

[Embodiment 10] An embodiment of the present invention will be described with reference to FIG.

In the tenth embodiment, unlike the ninth embodiment, the characteristics of the display device are not grasped in advance, and the display colors are actually measured by a measuring device in the same manner as in the ninth embodiment. This is the case where the range is the measurable range of the measuring instrument.

In the tenth embodiment, first, in step 11, n sets of input values for measurement (Ri, Gi, Bi) (i = 1
To n), for example, 11 sets of data, (R1, G1, B1) = (255, 0, 0), (R2, G2, B2) = (0, 255, 0), (R3, G3, B3) ) = (0,0,255), (R4, G4, B4) = (63,127,191), (R5, G5, B5) = (191,63,127), (R6, G6, B6) = (127, 191, 63), (R7, G7, B7) = (223, 223, 223), (R8, G8, B8) = (159, 159, 159), (R9, G9, B9) = (97) , 97, 97), (R10, G10, B10) = (31, 31, 31, 31), (R11, G11, B11) = (0, 0, 0).

From (R1, G1, B1) to (R6, G6,
Up to B6), the data is the same as the six sets of data of Example 7, excluding (0, 0, 0). From (R7, G7, B7) to (R11, G11, B11), (0, 0, 0) (0, 0) at the end, and the data having the larger value precedes.

Then, the 11 sets of measurement input values (R
Steps 41, 31, 32, 13 to 16 are executed for each of i, Gi, Bi) (i = 1 to 11). In this case, data of i = 6 (R6, G6, B6) = (127,
191 and 63), when the processing is completed, the above-described halfway formulation becomes possible.

Therefore, at that time, a halfway formulation is performed once, and the data (Ri, Gi, Bi) (11
For ≧ i ≧ 7), it is determined in step 41 that the corresponding display color can be predicted, and then in step 31, the corresponding display color is predicted. In step 32, the predicted value can be measured by the measuring device. It is determined whether it is within the range.

After that, the same processing as in the ninth embodiment is performed on all the input values for measurement. When it is determined in step 18 that i exceeds n, the process proceeds to step 19, and by then, The correspondence between the input values and the display colors is formulated from the accumulated measurement input values and measured values.

Also in this case, since the measured value recognized in step 14 is assumed to be within the measurable range of the measuring instrument, step 15 is omitted and step 16 is replaced by the measurement value recognized in step 14. The value may be accumulated as it is together with the input value for measurement.

Since the characteristics in the middle and the characteristics to be finally formulated do not always match, in step 32, for example, the range of the predicted value determined to be out of the measurable range is set to the actual value. An appropriate margin such as compression to half of the range may be provided to determine whether the predicted value is within the measurable range of the measuring instrument.

The formulation in the middle may be performed at any time as the cumulative result increases, or may be performed only once.

Here, in the process of sequentially and temporally recognizing the n sets of measurement input values prepared in step 11, the correspondence between the input values and the display colors is assumed again from the already recognized results, and In accordance with, the temporal order of the subsequent input values for measurement, sequentially recognized from the input value "recognition result is assumed to be within a predetermined range, or it is considered that the probability of being outside the predetermined range is low", If the input value "recognized result is assumed to be out of the predetermined range or is considered to be highly likely to be out of the predetermined range" is recognized, the input value may be re-recognized later.
This is an embodiment of the invention of FIG.

Further, for input values after the input value whose recognition result is out of the predetermined range, display and recognition of the display color can be omitted. Input values after the input value outside the predetermined range by reviewing the order at any time have a high probability of being outside the predetermined range and often do not contribute to formulation even if measured. By omitting the display of such input values and the recognition of the display colors, the display colors that need to be recognized can be reduced. The invention of claim 18 can be implemented in this way.

The display and recognition may be performed sequentially without changing the order of the input values for measurement. In this case, with respect to the input value “the recognition result is assumed to be out of the predetermined range or the probability that the recognition result is out of the predetermined range is high”, the display of the input value and the recognition of the display color are omitted. Is also possible. Such an input value has a high probability of being out of the predetermined range, and does not often contribute to formulation even when measured. By omitting the display of such input values and the recognition of the display colors, the display colors that need to be recognized can be reduced. The invention of claim 19 is
It can be implemented in this way.

[0144]

As described above, according to the present invention, C
The correspondence between the input value of a display device such as an RT display and the display color can be formulated in a short time with high accuracy.

[Brief description of the drawings]

FIG. 1 is a diagram showing an example of a system configuration for implementing a formulation method of the present invention.

FIG. 2 is a diagram showing a formulation method of Examples 1, 2, and 3.

FIG. 3 is a diagram illustrating a formulation method according to a fourth embodiment.

FIG. 4 is a diagram illustrating an overall routine of a formulation method according to a fifth embodiment.

FIG. 5 is a diagram showing a formulation routine in steps 21 and 22 of FIG. 4;

FIG. 6 is a diagram illustrating a formulation method according to a sixth embodiment.

FIG. 7 is a diagram illustrating a formulation method according to a seventh embodiment.

FIG. 8 is a diagram illustrating a formulation method according to an eighth embodiment.

FIG. 9 is a diagram showing a formulation method of the ninth and tenth embodiments.

FIG. 10 is a diagram showing equations used for describing a formulation method of the present invention.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Display apparatus (CRT display) 2 Display characteristic formulation apparatus 3 Measuring instrument 11 Preparation step 13 Display step 14 Recognition step 15 Sorting step 16 Accumulation step 19 Formulation step 31 Prediction step 32 Exclusion step 41 Judgment step

Claims (24)

[Claims] 1. A CRT in which a display color is controlled according to an input value.
What is claimed is: 1. A method for formulating a correspondence between an input value and a display color of a display, comprising: supplying a plurality of measurement input values sequentially or temporally to the CRT display; A recognition step of sequentially recognizing the display color, a selection step of extracting only a recognition result within a predetermined range from the recognition result, and a measurement input value in the display step. The error between the display color calculated from the formula of the result of the formulation and the display color of the actual recognition result is minimized based on the extraction result in the selection step and the correspondence between the input value and the display color. And a formulation step of formulating the display characteristics as described above. 2. A plurality of colors whose spectral distributions are linearly independent from each other in accordance with an input value (hereinafter, each color is defined as a primary color).
Is controlled and the color of the display device is displayed,
A method of formulating a correspondence between an input value and a display color, wherein a plurality of measurement input values are sequentially or temporally supplied to the display device to control a display color of the display device. A display step, a recognition step of sequentially recognizing the display color as a color coordinate value, a selection step of extracting only a recognition result within a predetermined range among the recognition results, and a measurement input value in the display step And, based on the extraction result in the selection step, the correspondence between the input value and the display color, the error between the display color calculated from the formula of the result of formulation and the display color of the actual recognition result is minimized. A formulation step of formulating a display characteristic so as to form a display characteristic. 3. The method according to claim 2, wherein the formalizing step is based on an input value for measurement in the displaying step and an extraction result in the sorting step.
First to recognize the color coordinates of each primary color and the gradation characteristics of each primary color
And a second step of formulating the correspondence between the input value and the display color based on the recognition result in the first step so that the error is minimized. Method. 4. The method according to claim 2, wherein the formalizing step comprises the steps of: measuring the input value for measurement in the displaying step;
A first step of recognizing a color coordinate of each primary color, a gradation characteristic of each primary color, and a color mixing characteristic of each primary color; and, based on the recognition result in the first step, determining a correspondence between an input value and a display color by the error. And a second step of formulating the display characteristics to be minimized. 5. The display according to claim 3, wherein the second step formulates a correspondence between an input value and a display color on the assumption that additive color mixture is established for the display device. Characteristic formulation method. 6. The display according to claim 3, wherein the second step formulates a correspondence between an input value and a display color on the assumption that subtractive color mixture is established for the display device. Characteristic formulation method. 7. The method according to claim 1, wherein when a correspondence between an input value and a display color is assumed in advance, the corresponding display color is selected as the plurality of measurement input values. A display characteristic formulation method characterized by not including a measurement input value assumed to be out of a predetermined range of a step. 8. A method according to claim 1, wherein when a correspondence between an input value and a display color is assumed in advance, a corresponding display color of said plurality of measurement input values is changed. A display characteristic formulation method, wherein the display step, the recognition step, and the selection step are omitted for a measurement input value that is assumed to fall outside a predetermined range of the selection step. 9. The display characteristic formulation method according to claim 1, wherein the predetermined range of the selection step is a range exceeding a predetermined level of lightness. 10. The method according to claim 1, wherein the step of recognizing comprises a first step of actually measuring a display color by a measuring means and a second step of recognizing the result of the measurement. Display characteristic formulation method. 11. The method according to claim 10, wherein the predetermined range of the selection step is a measurable range of the measuring means. 12. The method according to claim 11, wherein the determination as to whether or not the recognition result in the recognizing step in the selecting step is within a measurable range of the measuring means is performed by the measuring means. A signal indicating whether or not the value is within the range, or determining whether or not the measured value of the measuring means is within the measurable range of the measuring means, or performing both of them, wherein a display characteristic formula is provided. Method. 13. A CR in which a display color is controlled according to an input value.
What is claimed is: 1. A method for formulating a correspondence between an input value and a display color of a T display, comprising: supplying a plurality of measurement input values sequentially or temporally to said CRT display; A display step of controlling a color, a recognition step of sequentially recognizing the display color, a selection step of extracting only a recognition result within a predetermined range among the recognition results, and a correspondence of the extracted recognition result. An accumulation step of accumulating for each measurement input value to be determined, and judging whether or not a correspondence between the input value and the display color can be assumed from the correspondence between the accumulated recognition result and the corresponding measurement input value. And when it is determined in this determination step that the correspondence between the input value and the display color can be assumed, the input for measurement is assumed to be such that the corresponding display color does not fall within the predetermined range of the selection step. With respect to the value, the measurement input value is excluded from the plurality of measurement input values, or the display step, the recognition step, the selection step and the accumulation step are omitted, and a predetermined number of times is reached, or Until a predetermined accuracy is obtained, a repetition step of repeating each of the steps, When a predetermined number of times is reached, or when the predetermined accuracy is obtained, from the correspondence between the accumulated recognition result and the corresponding measurement input value, A formulation step of formulating a correspondence between the input value and the display color such that an error between the display color calculated from the formulation of the formulation result and the display color of the actual recognition result is minimized. A display characteristic formulation method characterized by the following. 14. A method for formulating a correspondence between an input value and a display color of a display device in which a plurality of primary colors are controlled in accordance with an input value and displaying a color, comprising: A display step of sequentially or temporally or spatially supplying the display device to control the display color of the display device; a recognition step of sequentially recognizing the display color as a color coordinate value; A selecting step of extracting only recognition results within a predetermined range, an accumulating step of accumulating the extracted recognition results for each corresponding measurement input value, and a step of accumulating the accumulated recognition results and a corresponding measurement. A determination step of determining whether a correspondence between the input value and the display color can be assumed from the correspondence between the input value and the display color, and determining that the correspondence between the input value and the display color can be assumed in this determination step For a measurement input value that is assumed that the corresponding display color does not fall within the predetermined range of the selection step, the measurement input value is excluded from the plurality of measurement input values, or the display step, An exclusion step for omitting the recognition step, the selection step, and the accumulation step; a repetition step of repeating each of the steps until a predetermined number of times is reached, or a predetermined accuracy is obtained; When obtained, a first formulation step for recognizing the color coordinates of each primary color, the gradation characteristics of each primary color, and the color mixing characteristics of each primary color from the correspondence between the accumulated recognition result and the corresponding input value for measurement. Based on the recognition result in the first step of the formulation, the correspondence between the input value and the display color is compared with the display color calculated from the formulation of the formulation result and the actual recognition result. Display characteristics Formulation how error between display color of which is characterized in that and a second step formulation to formulate to minimize. 15. The method according to any one of claims 1 to 14, wherein the plurality of measurement input values are, as a temporal order, assumed that a recognition result is out of the predetermined range or out of the predetermined range. At least 1
A display characteristic, characterized by preceding at least one input value with at least one input value whose recognition result is assumed to be within the predetermined range or is considered to have a low probability of being outside the predetermined range. Formulation method. 16. The method according to claim 1, wherein the plurality of measurement input values are assumed to be in a temporal order, and the recognition result is assumed to be within the predetermined range, or to be outside the predetermined range. Are sequentially preceded by input values that are considered to have a low probability, and are characterized by following an input value that is assumed to have a recognition result outside the predetermined range or is considered to have a high probability of being outside the predetermined range. Display characteristic formulation method. 17. The method according to claim 15, wherein in the process of sequentially and temporally recognizing the plurality of measurement input values, the correspondence between the input values and the display colors is assumed from the already recognized results. Correcting the time order of the subsequent input values for measurement as required. 18. The method according to claim 15, 16 or 17, wherein in a step of sequentially and temporally recognizing the plurality of measurement input values, when a recognition result is outside the predetermined range, a subsequent measurement is performed. A display characteristic formulation method characterized by omitting display of input values for use and recognition of display colors thereof. 19. The method according to claim 15, 16 or 17, wherein in the step of sequentially and temporally recognizing the plurality of measurement input values, the correspondence between the input values and the display colors is determined from the already recognized results. Assuming that the recognition result is out of the predetermined range or that the input value is considered to have a high probability of being out of the predetermined range, the display of the input value and the recognition of the display color are omitted. A method for formulating display characteristics, characterized in that: 20. A display characteristic formulation apparatus for performing the display characteristic formulation method according to claim 1. 21. A recording medium in which the method for formulating display characteristics according to claim 1 is described. 22. A recording medium in which the characteristics formulated by the display characteristic formulation method according to claim 1 or the display characteristic formulation device according to claim 20 are described. 23. An image processing method for processing an image based on the characteristics formulated by the display characteristic formulation device according to any one of claims 1 to 19. 24. An image processing apparatus for processing an image based on the display characteristic formulation method according to any one of claims 1 to 19, or the characteristic formulated by the display characteristic formulation apparatus according to claim 20.