JPH0516038B2 - - Google Patents

Description

[Detailed description of the invention]

Technical Field The present invention relates to a method for displaying a color image, and more specifically, the present invention relates to a method for displaying a color image, and more specifically, a plurality of binary display cells for each color are made to correspond to picture elements of an image to be displayed, and the brightness of each color of each picture element is adjusted by a level control. The present invention relates to a method for displaying an image having gradations with shading according to the so-called Taser method in which binary display cells are activated. BACKGROUND ART In the prior art based on such a Taser method, each of a large number of submatrices constituting an image frame is configured by arranging binary display cells for each of three colors, red, green, and blue. There is. A binary display cell is black when it is not activated.
Therefore, with such prior art, it is difficult to improve brightness. Furthermore, in the prior art described above, when the discrimination level at which each binary display cell turns on or off in order to improve the gradation is set to a plurality of different values for each binary display cell, the resolution of the image increases. The problem is that it gets worse. Purpose An object of the present invention is to provide a color image display method based on the Taser method with improved brightness. Another object of the invention is to provide a display of color images with improved resolution. Still another object of the present invention is to provide a method for displaying images with improved resolution and the like using as little information as possible. Structure of the Invention The present invention comprises a red pixel consisting of a red binary display cell, a green pixel consisting of a green binary display cell, a blue pixel consisting of a blue binary display cell, and a white binary display cell. A submatrix is formed by arranging a plurality of white pixels each having a ratio of the number of display cells that is a power of 2, a plurality of such submatrices are arranged to form an image frame, and for each submatrix, This is a color image display method characterized by activating a red pixel, a green pixel, and a blue pixel in accordance with an image signal, and selecting and activating a plurality of white pixels in accordance with an image signal. Effects of the Invention According to the present invention, hue and brightness are separated, red, green, and blue binary display cells and white display cells are mixed, and the amount of information for each pixel is limited, and the red, green, and blue The color layer is divided into two binary display cells, and the white display cell is driven by spatial modulation to control the intermediate tone of brightness. In this way, it becomes possible to obtain a desired color image with a small amount of information, and it is also possible to improve brightness and resolution. That is, the present invention displays an image having gradations with shading according to the Taser method for displaying a color image by level-discriminating the brightness of each color of each pixel and activating a binary display cell. It is intended for display using digital signals, and for this purpose, pixels composed of binary display cells constitute a submatrix of each color, and this submatrix is used to form an image frame. The pixels are activated by digital signals. Therefore, especially for a white pixel, by changing the number of white binary display cells constituting that pixel, multi-step gradation control using digital signals can be easily realized. In particular, the present invention has a submatrix in which color tones are displayed using pixels consisting of red, green, and blue binary display cells, and brightness is adjusted using pixels consisting of white binary display cells. The present invention is characterized by providing a plurality of images whose ratio is a power of two, which makes the image clearer, that is, effectively adjusts the brightness, and facilitates image data processing. In other words, since the submatrix is provided with a plurality of white pixels whose ratio of the number of display cells is a power of 2, multi-level brightness display can be performed by selectively lighting up one or more of these white pixels. In addition, since the ratio of the number of display cells is a power of two, in digital control, by associating a predetermined bit in the memory with each white pixel, the brightness can be controlled using the numerical value representing brightness as is, and the data This is very advantageous in processing. Furthermore, according to the present invention, when an image signal is stored in a memory or the like, it is sufficient to store the binary values of active and inactive for each cell in each submatrix, so the storage capacity can be small. Theory There are three attributes of color tone: brightness, saturation, and hue. In this experiment, we held the saturation constant and displayed halftones by changing only the brightness for each hue. Try it. (1) Configuration of one pixel Any color can be created by light by appropriately mixing red R, blue B, and green G. In this invention, since images are displayed with a small amount of information, each bit of R, G, and B is treated as 3 bits of information, as shown in FIG. Images are displayed in eight colors: , cyan, green, yellow, white, and black as shown in Table 1.

[Table] The brightness is changed using the white dot, and the brightness ratio is 1:2:4, which is treated as 3-bit information, and the brightness ratio is 0:1:2:3:
Images are displayed in 8 gradations of 4:5:6:7 as shown in Table 2.

[Table] That is, one pixel is constructed using 3 bits of color information and 3 bits of brightness information. Although the pixel configuration is shown in FIG. 2, the arrangement of R, G, B, W1, W2, and W4 can be changed freely. Basic study of pixel configuration 3-1 Cathode ray tube (CRT) used in the experiment
Performance and characteristics a CRT performance Personal computer/FUJITU-
High resolution color CRT display for MICRO8
MB27301 (product name) CRT 12 inches Display area 220 x 139 mm Image resolution 640 x 200 dots Color 8 colors b Characteristics of CRT Figure 3 shows a chromaticity diagram when the entire CRT is filled with each hue. FIG. 4 shows the luminance characteristics of each hue under similar conditions. According to Figure 4, yellow, green, white,
It can be seen that cyan has high brightness, but magenta, red, and blue have low brightness. That is, the hue to which green dots are added has high brightness. This means that
This is a development that is caused by the differences in the characteristics of the R, G, and B fluorescent materials on the front of the CRT. Therefore, since the above-mentioned characteristics are the characteristics of the CRT itself, in this experiment, we do not consider any special conversion for the above-mentioned characteristics, and perform the experiment by assuming that each hue has a constant brightness. In FIGS. 3 and 4, among the experimental conditions, the viewing distance was 1.5 m, the surroundings were dark, and the viewing angle of the luminance meter was 2 degrees. 3-2 Programmer's method Information on one pixel is expressed as a two-digit integer as shown in Tables 3, 4, and 5.

【table】

[Table] Example 1: When the color is magenta and the gradation is W2...
23 Example 2: 45...The gradation is W4 and the color is cyan. When drawing one screen, one pixel at a time is scanned as shown in FIG. The flow chart and program list are shown in FIGS. 7 to 9. Figure 7 is a flowchart of the main program for image display. 0≦Y≦b ...(1) 0≦X≦a ...(2) Here, a is the number of pixels in the X-axis direction, and b is the number of pixels in the X-axis direction. This is the number of pixels in the Y-axis direction. FIG. 8 is a flowchart for determining the second digit gradation data A, and the codes in Table 5 are used.

[Table] FIG. 9 is a flowchart for determining the first digit color data B, and the codes in Table 6 are used.

[Table] 3-3 Case of 1 pixel configuration A (1) Screen configuration 1 pixel configuration A in the X direction as shown in Figure 10 2.
Assuming 12 dots and 8 dots in the Y direction, since the resolution of the CRT screen is 640 x 200 dots, the screen configuration will be 53 x 25 pixels as shown in FIG. 10. (2) Results Figure 10 Color image drawn using the pixel configuration shown in 2.
Bar patterns include black, blue, red, magenta, green,
Cyan, yellow, and white color bars are displayed, and each color has a brightness value ranging from (dark: W0) to (bright: W0).
W7). Colors that are displayed as a single color such as black, blue, red, and green appear vivid, but R colors such as magenta (R+B), cyan (B+G), yellow (R+G), and white (R+B+G) appear vivid. , G, and B are mixed and displayed, the colors do not appear vividly. Also, the striped pattern of white dots is quite noticeable. When a diffusely reflecting filter (see 3-5 below) is placed in front of the screen, the striped pattern disappears considerably, but it becomes a little more noticeable. When a monochromatic figure is drawn using only brightness modulation, the change in brightness stands out considerably, but the striped pattern becomes very noticeable. Also, since the number of pixels is small (53 x 25), the outline of the figure becomes rough. From the above results, it is necessary to make the pixels smaller and increase the number of pixels in order to eliminate the striped pattern and make the outline of the figure finer. 3-3 Case of 2-pixel configuration B (1) Screen configuration In pixel configuration A, the striped pattern was quite noticeable, so in this pixel configuration B, in order to eliminate the striped pattern, the number of pixels is increased and the pixels themselves are made smaller. I tried that. The configuration of the screen is shown in Figure 11 (1), and the number of pixels is (53 x 25) pixels in the case of pixel configuration A.
Increased to (100 x 50) pixels. The configuration B of one pixel is shown in FIG. 11(2). R, G, B, W1 within one pixel,
It is possible to exchange the positions of W2 and W4 on the program. (2) Result a In the case of the pixel configuration shown in Figure 11 2 When comparing the color bar pattern with the pixel configuration shown in Figure 11 2 to the pixel configuration shown in Figure 10 2, the striped pattern disappears considerably. . In this case, if a diffuse reflection filter is placed in front of the screen, the hues of magenta, yellow, white, etc. will be considerably brighter. When a monochromatic figure is drawn using only brightness modulation, when compared with the case of the pixel configuration shown in FIG. This is due to increasing the number of pixels and making each pixel smaller. However, it can be seen that a mottled pattern stands out in some parts of the screen. This pattern has a brightness of 4
(W4) can be seen in the data position. Brightness 4 (W4)
FIG. 12 shows the pixel configuration of R
Since only W4 and W4 are lit, and W1 and W2 on both sides are not lit, the black part that is not lit stands out, so only the position with brightness 4 stands out. Next, we devised a pixel configuration to eliminate the mottled pattern caused by brightness 4. b. When the pixel arrangement is changed Figure 13 shows the pixel arrangement when the positions of the white dots W1 and W2 are changed. Compared to the case of the pixel configuration shown in FIG. 11 and 2, the mottled pattern due to the luminance 4 is still noticeable, and smoothness is also lost in other luminance changes. Even when a diffuse reflection filter is placed in front of the screen, the mottled pattern caused by brightness 4 still does not disappear. 3-3 Case of 3-pixel configuration C FIG. 14 shows a case where the positions of W4 and R of pixel configuration B are swapped. Although the positions of W4 and R in pixel configuration B were swapped, the mottled pattern due to brightness 4 (W4) that stood out in the case of the pixel configuration shown in FIG. 11-2 disappeared. This seems to result in smoother luminance modulation when W1, W2, and W4 are arranged horizontally in a row rather than arranged vertically. 3-3 Case of 4-pixel configuration D (1) Screen configuration Figure 15 2 shows pixel configuration B.
A screen with . . . is shown in FIG. In pixel configuration B, the hue disappeared due to the influence of white bright spots, and the entire image appeared whitish. With this pixel configuration D, an attempt was made to emphasize the hue and suppress the whiteness. The configuration of the screen is shown in Figure 15, and the number of pixels is (100 x 50) pixels in the case of pixel configuration B.
The disadvantage is that the number of pixels in the Y-axis direction is reduced to (100×32) pixels. The configuration of one pixel is shown in FIG. 16, 2. When comparing the number of R, G, and B dots with W1, W2, and W4, it can be seen that the proportion of R, G, and B dots is increasing. (2) Result a In the case of the pixel configuration shown in Fig. 15 (2) In the case of the pixel arrangement shown in Fig. 11 2, when the brightness reaches maximum, the hue is erased by the white bright spot and it looks whitish, but as shown in Fig. 15 2 In the case of pixel configuration, R,
By increasing the number of G and B dots, the hue can be distinguished even at maximum brightness. In this case, if a diffuse reflection filter is placed in front of the screen, the hue will be strong, but a striped pattern will appear due to white bright spots. This is due to increasing the number of vertical dots in the pixel configuration.
This seems to be due to a decrease in the number of pixels in the axial direction, resulting in a lower resolution. b. When the pixel arrangement is changed Figure 16 shows the pixel configuration when the positions of W4 and R are changed. When comparing the color bar pattern based on the pixel configuration shown in Figure 16 with the pixel configuration shown in Figure 15 2, the hue is more pronounced in mixed colors (yellow, cyan, magenta, white). . Even when a diffuse reflection filter is placed in front of the screen, a striped pattern that becomes a white spot stands out, as in the case of the pixel configuration shown in FIG. 15-2. 3-4 When changing the hue In the case of pixel configuration C, when changing the hue to cyan, compared to the case of only red hue, cyan (B + G), magenta (R + G), yellow (R + G) , white (R+B+G) and other mixed white hues still appear bright. This problem will be discussed in "4-5 mixed color display". 3-5 Diffuse reflection filter a Filter blurring effect When a diffuse reflection filter is placed in front of a CRT screen, minute dots are placed side by side, and at what distance the colors are mixed and appear as one point is quantitatively investigated. Normally, it is said that when the visual angle is less than 60" to 30", our eyes cannot distinguish between points and the points appear to be fused together. For example, if we consider that two points are adjacent to each other with a distance of 0.05 cm between the central canals as shown in Figure 17, the relationship between the visual angle θ°, the center distance l of each point, and the distance γ from the eye to the point is γ= 0.5/tanθ (mm) ……(3), and for those who can see each point fused at a visual angle of 0.01°, γ=0.5/tan(0.01)=2857(mm) ……(4) , if viewed from a distance of 2.86 m or more from each point, the two points will appear to be completely blended into one point. However, what has been described above is the case where a diffuse reflection filter is not placed in front of the screen, and if a diffuse reflection filter is placed, it is thought that γ will become smaller. Also, since a CRT screen is curved, if a diffuse reflection filter is placed in front of it, the blur will be different at the center and at the edges. Therefore, in the experiment, data were collected at the center and edges of the screen. A CRT with a diffused reflection filter placed in a dark room
Two adjacent white points were displayed at two locations on the screen, one at the center and one at the edge, and the center distance l at which the two points appeared to be fused at each distance γ was determined. Figure 18 shows its characteristics. b Transmittance Display the entire CRT in each hue (blue, red, magenta, green,
The brightness was determined with and without a diffuse reflection filter when the area was completely filled with colors (cyan, yellow, white), and the transmittance was calculated using Equation 5 as shown in Table 7. γ=Lb/La...(5) γ=Transmittance La=Brightness without diffuse reflection filter Lb=Brightness with diffuse reflection filter

[Table] Looking at the characteristics in Figure 19, it can be seen that the diffused reflection is stronger at the edges of the screen than at the center of the screen. The reason for this is that the CRT screen itself is not flat, but curved, so when a diffuse reflection filter is placed in front of the screen as shown in the side view in Figure 20, the distance X between the screen and the diffuse reflection filter is This is because it becomes longer. Therefore, in order to make the diffused reflection between the center and edges of the screen constant, use a diffused reflection filter with the same curvature as the CRT screen, and increase the distance between the screen and the diffused reflection filter by
Set to a constant value. Also, if the resolution is high and the number of gradations is large, there is no need to blur the screen using a diffuse reflection filter, but if the resolution is low and the image is evaluated using a mask with a low number of gradations, a diffuse reflection filter is used. It's better. Furthermore, depending on the type of image to be displayed, the degree of diffused reflection by the diffused reflection filter also changes. Display of a building block house 4-1 Original picture So far, images have been explained in terms of color bars, patterns, and simple shapes, but from now on, the image will be explained using a drawing of a block house as an original picture. Second
Figure 1 shows the original image divided into (100 x 50) pixels and the measured values of brightness on each side. However, the brightness for each surface is assumed to be constant. Further, FIG. 20 shows the luminance distribution for each hue. 4-2 Image data used in the experiment Displaying the luminance of each hue obtained in 4-1 on a CRT in correspondence with the current gradation is as follows:
Considering the characteristics of the CRT's fluorescent material, this is impossible. In other words, in this experiment, we focused on the transmission of information, not the transmission of accurate images. Therefore, we determined each hue and brightness by visual inspection, emphasized shadows and other areas subjectively, and provided gradation and hue data. Figure 22 shows the hue and gradation data for each surface. Here, the first digit is hue data, and the second digit is gradation data. 4-3 Threshold characteristics and image quality for each pixel configuration When evaluating images, there are two ways to evaluate them: “the image content can be clearly understood (recognition)” and “the image is sharp and beautiful (sharpness)”. This embodiment aims at the latter. In other words, white areas are highlighted and dark areas are emphasized to make them look black. Up until now, the gradation of input data and the output display gradation have been made to correspond linearly, as shown in line a in Figure 23, but in this experiment, the input and output gradations have been made to correspond linearly, as shown in lines b, c, and d. Match the relationships in a curvilinear manner.
Curve b is a curve of y=x ² (0≦x≦1). Similarly, the curve C is y=x ³ (0≦x≦1), and the curve d is y=x ⁴ (0≦x≦1). 4-3 In the case of 1-pixel configuration B In the case of pixel configuration B, if lines a, b, c, and d are compared in correspondence, the gradation difference will partially disappear in lines c and d, making it difficult to distinguish the brightness. It disappears. That is, as in lines c and d, if the radius of curvature is made too small, the brightness difference disappears and the brightness becomes the same. However, in this embodiment, eight gradations are used, and the radius of curvature can be made smaller by increasing the number of gradations. 4-3 In the case of 2-pixel configuration C When changing the arrangement to pixel configuration C (Figure 25)
Furthermore, when the gradation of input data is made to correspond to the output display gradation, the hue of the pixel arrangement becomes more prominent than in FIG. 24, regardless of the threshold curve. Furthermore, in an image displayed using only gradations, the brightness appears to change smoothly. From the above results, it can be seen that the pixel arrangement in FIG. 25 gives a more vivid hue. However, this problem depends on the type of image to be displayed: 1) an image with a three-dimensional effect, 2) a graphic figure, 3) an image where you want to emphasize hue, 4) an image where you want to emphasize gradation, 5)
It varies depending on the average hue (reddish, greenish, etc.). 4-4 Measurement of brightness and chromaticity at each hue and gradation Figures 26 and 27 show the pixel arrangement
4 and 25 represent chromaticity diagrams. Looking at the graphs for each hue, the pixel arrangement in FIG. 24 changes linearly toward the center (that is, white). In other words, this means that each hue is constant and only the gradation changes. FIG. 29 is a graph showing luminance at each gradation, with hue on the horizontal axis. From this graph, it can be seen that black, blue, red, and magenta have low brightness, but green, cyan, yellow, and white have high brightness. This phenomenon is due to the fluorescent substance of CRT itself (3
-1Refer to CRT characteristics). It can also be seen that the pixel arrangement in FIG. 25 is lower than that in FIG. 24 in terms of gradations of 4 or more, with lower luminance. FIG. 30 is a graph showing the luminance at each hue, with the gradation plotted on the horizontal axis. From this graph, it can be seen that the gradation changes more smoothly in the pixel arrangement shown in FIG. 25. Note that in FIGS. 28 and 39, solid lines indicate the results for pixel configuration B, and broken lines indicate the results for pixel configuration C. 4-5 Luminance difference between mixed colors and single colors When considering only hue display without considering gradation display, each dot of mixed colors (magenta, cyan, yellow, white) and single colors (blue, red, green) lights up. The numbers are shown in Table 8.

[Table] From Table 8, the number of lit dots when displaying blue, red, and green is 4 dots each, and 8 dots each for magenta, cyan, and yellow.
Dots, white is 12 dots. That is, although theoretically the hue is displayed at the same brightness, in reality, as described above, the brightness is different between the mixed color case and the single color case. Therefore, a method for displaying an image with only mixed colors at the same luminance will be described below. As shown in FIG. 30, the pixel configuration is made by associating monochromatic colors and mixed colors. That is, R→magenta, B→cyan, and G→yellow are made to correspond. Third
FIG. 32 shows an image configuration based on the correspondence shown in FIG. In this case, Madenta has 2 dots for R and 2 dots for G, which means 4 dots are lit, and similarly, cyan has 4 dots.
Dots light up, yellow also lights up 4 dots, red, blue,
It is possible to obtain the same brightness as the green display. 5 An example of an image display that associates hue with brightness In graphics, color codes (0 to
7) is displayed in correspondence with the brightness modulation (0 to 7). (1) Screen configuration When the color graphic screen shown in Figure 33 displayed by CRT is made to correspond to the screen with pixel configuration B, the display screen will be as shown in Figure 34 (80×
50) Becomes a pixel. (2) Method of reading a color code and changing it to brightness modulation a Graphic A Read the color dot with the largest number of 24 dots in one pixel, and display the color code in correspondence with Tables 9 and 10. b Graphic B Boundary line among 24 dots per pixel (green in the original)
When even one dot is read, the display is displayed with the corresponding brightness. If there are no border dots among the 24 dots, and if the first 16 dots among the 24 dots are the same color dots, use the color code in Tables 9 and 10.
Display with table correspondence. (3) Correspondence table Match the color code and brightness modulation as shown in Tables 9 and 10.

【table】

34A, 34B and 34C show the main program for carrying out the graphical example. In the step to declare the array, declare the array X0%~X7% in GETa,
Declare arrays A0 and A1 that will contain X7%. Y and X scans are performed over the following value ranges: 0≦Y≦49 …(6) 0≦X≦102 …(7) In the step of determining A0(I)≧0 in Figure 34B, if A0(I) is that number, it will be a positive number. Convert. In this step of determining A1(I)≧0, if A1(I) is a negative number, it is converted to a positive number. At step n20, the number of bits B(I) that is 1 in A0(I) and the number C(I) of bits that are 1 in A1(I) are added and the result is set as D(I). In step n23, the value MAX is compared with D(J), and if the value MAX is large, it is left as is, and if D(J) is large, MAX=D(J) is changed in step n24.
Also, let the color code J at that time be M2. In step n26, a brightness code M2 is issued and the process moves to a subroutine for lighting each dot. FIG. 35 shows a flowchart of subroutines SUB2 and SUB3. Subroutine SUB2
is the case of A1(O) in subroutine SUB1. At step S2, the number A0(I) expressed in decimal
15 to 0 and -1 to convert to 16 digit binary number
Change it step by step. In step S3, the decimal number A0(I) is compared with 2 on N, and if A0(I) is larger, it means that the N digit is set to 1, so the bit number B(I) is Add one. In step S5, 2 over N is subtracted from A0(I) to check the n-1 digit. In Figure 36, in step γ3, arrays X0% to X7% in GETa are declared, and X0%(O) to X7
Declare an array A0(3) that will contain %(O). This is the range of the above-mentioned equations 6 and 7 which give the values of Y:X at steps γ4 and γ5. In step γ12, A0(4) dot 0, that is, even if there is only one dot of the boundary color (green), the entire brightness is 4 and the brightness corresponding thereto is performed in direction step γ13. (4) Comparison of Graphic A and Graphic B In the case of Graphic A, a method is used in which the most numerous colored dots among the 24 dots in one pixel are checked and the corresponding brightness is expressed. With this method, as you can see from the photo below, the border line (green) is read where there are the most green dots out of the 24 dots, and there are some spots where there are green dots. Brightness 4
(In the case of b, the brightness is 3). In addition, in the case of Graphic A, it takes a lot of time to check the color dot that has the most number of dots out of 24 dots. For boundaries where multiple colored dots fall within 24 dots, Graphic A's method examines the color dot that has the most number of dots, but Graphic B's method considers the border line to be green and examines 1 out of 24 dots.
A method is used in which if there is a green dot, the corresponding brightness of green is displayed. Therefore, the processing time was much shorter than that of Graphic A. Also, in Graphic A, there were green dots with corresponding brightness appearing in some places, but these are no longer noticeable. In the original drawing, the fine pattern in the center cannot be displayed in both Graphic A and Graphic B. This is not a problem with either program, but because the display screen is small (80x50) pixels. 6 Conclusion○ Let's summarize the threshold characteristics of input data gradation and output display gradation. In fact, when we asked more than a dozen people to evaluate images from a subjective standpoint, we found that the response using a threshold curve with a certain degree of curve seemed to emphasize areas such as shadows and have sharpness. I got an opinion. However, if the radius of curvature of the threshold curve becomes too small, the number of gradations will be low and the brightness difference will be lost. That is, in order to faithfully transmit the original image, the threshold curve must be linear, but such a method is advantageous for transmitting information (images with areas to be emphasized, images with sharpness, etc.). ○ Describe image placement. By measuring the luminance and chromaticity at each hue and each gradation, it can be seen that the actual luminance value will differ if the pixel arrangement is changed. The luminance changes more linearly when the hue dots (R, G, B) are arranged in a horizontal row than when arranged in a triangular pattern. (See 4-4) It was also found that when the hue dots (R, G, B) were arranged in a triangular pattern, a mottled striped pattern with a luminance of 4 was produced, but this disappeared by arranging them in a horizontal line. ○ Striped patterns appear (especially when the number of pixels is small)
The striped pattern can be removed by blurring it with a diffuse reflection filter. FIG. 37 is a block diagram showing an electrical configuration for implementing the above-described invention. The signal obtained by the imaging device 1 is color-separated by the processing device 2, the above-mentioned operations are performed, and the signal is displayed by the cathode line display device 3.

[Brief explanation of the drawing]

Figure 1 is a diagram showing the mixture of colors, Figure 2 is a diagram showing the configuration of picture elements, Figure 3 is a diagram showing the chromaticity of each hue,
Figure 4 is a diagram showing the brightness of each hue, Figure 5 is a diagram showing how to represent picture element information, Figure 6 is a diagram showing screen scanning, Figures 7, 8, and 9 are Figure 10 shows the screen configuration; Figure 11 shows the screen configuration; Figure 12 shows the image display program;
13 and 14 are diagrams showing the structure of an image, FIG. 15 is a diagram showing the structure of a screen, FIG. 16 is a diagram showing the structure of an image, and FIG. 17 is a diagram showing the concept of vision. Fig. 18 is a diagram showing the relationship between the distance to the screen and the distance between two points, Fig. 19 is a diagram showing the cathode ray tube viewed from the side, and Fig. 20 is a diagram showing the distribution of brightness for each hue. Figure 21 is a diagram showing the pattern and brightness of the original image, Figure 22 is a diagram showing the image data used in the experiment, Figure 23 is a diagram showing the relationship between the gradation of input data and the gradation of output display, and Figure 22 is a diagram showing the image data used in the experiment. Figures 24 and 25 are diagrams showing the pixel configuration, Figures 26 and 27 are diagrams showing chromaticity, Figures 28 and 29 are diagrams showing brightness in each hue, and Figure 30 is a diagram showing monochrome and Figure 29. Figure 31 is a diagram showing the pixel configuration when displaying only mixed colors, Figure 32 is a diagram showing the graphic screen, Figure 33 is a diagram showing the screen, and Figure 31 is a diagram showing the pixel configuration when displaying only mixed colors.
4A, 34B, 34C, 35, and 36 are flowcharts for explaining the operation, and FIG. 37 is a block diagram showing the electrical configuration. 1... Imaging device, 2... Processing device, 3... Cathode ray tube display means.

Claims (1)

[Claims] 1. A red pixel consisting of a red binary display cell, a green pixel consisting of a green binary display cell, a blue pixel consisting of a blue binary display cell, and a white binary display cell. A submatrix is formed by arranging a plurality of white pixels each having a ratio of the number of display cells that is a power of 2, a plurality of such submatrices are arranged to form an image frame, and for each submatrix, A method for displaying a color image, comprising activating a red pixel, a green pixel, and a blue pixel in accordance with an image signal, and selecting and activating a plurality of white pixels in accordance with the image signal.