JP5662739B2 - Video system - Google Patents

Description

  The present invention relates to a video system, and more particularly to a video system using four color image signals of R (red), G (green), B (blue), and V (violet).

  In general, as an image system that performs color display, an RGB image system that expresses all colors by mixing and synthesizing independent images of R (red), G (green), and B (blue) colors is employed. Yes. The reason is that most people have three types of pyramidal cells, red, green, and blue, and the light that these cells can absorb is mainly three colors, red, green, and blue. This is because the video system is configured on the premise that the colors to be sensed are red, green, and blue, and the human color vision is a three-color color vision.

  The purple (V) color makes the person feel purple by stimulating the red cone and the blue cone of the person. In the RGB video system, R and B The signal is mixed and expressed.

  However, it is known that among many people, there are some people who have four-color type color vision with cones that can sense purple (V) light. . The RGB system that expresses all colors by mixing and synthesizing independent images of R, G, and B colors as described above provides an uncomfortable image to most people with three-color color vision. However, people with the above-mentioned four-color type color vision are not satisfied with color expression and feel uncomfortable.

  As a conventional technique capable of improving the color expression accuracy of the video system as described above, for example, a technique described in Patent Document 1 is known. In this conventional technique, color correction is performed using correction tables for white, red, green, blue, yellow, light blue, and purple components, and the color expression accuracy can be improved. Is.

  However, the video system using this prior art also makes the above-mentioned four-color type color sense unsatisfactory and uncomfortable.

  In general, a color video system may cause deterioration in image quality due to chromatic aberration and distortion caused by its optical system, in particular, a lens system. Patent Document 2 discloses a conventional technique that can prevent such image quality deterioration. Etc. are known. This prior art is good when imaging using visible light, by superposing multiple optical lenses to reduce the chromatic aberration caused by the lens and reduce the effect of chromatic aberration on the short wavelength side on the image quality. The present invention relates to an imaging device that can obtain an image with a high quality.

JP 2008-235981 A JP 2007-193194 A

  Any of the above-described RGB video system and the video system in which the color correction is performed by using the correction table described in Patent Document 1 to improve the color expression accuracy, the input to the apparatus is three colors of RGB, and purple. Is not used after digital conversion, and even if fine color correction is performed, purple is displayed in a purple color different from the primary color for color-sensitive viewers, and the color expression is insufficient and uncomfortable. Have the problem of making you feel.

  The prior art described in Patent Document 2 performs processing for reducing chromatic aberration by overlapping a number of optical lenses, but increasing the number of lenses to be stacked increases the size of the device and increases the cost. It has the problem of becoming.

  The object of the present invention is to solve the above-mentioned problems of the prior art, extract the purple wavelength in the light in addition to RGB, and convert each RGBV video signal to an RGBV digital signal for processing. By displaying all colors by mixing and synthesizing each image of RGBV, an image that does not give a sense of incongruity to a four-color type color sense person and can display an image with little aberration To provide a system.

According to the present invention, the object is to use R, R (red), G (green), B (blue), and V (purple) image signals using four color image signals, R, A four-color separation prism that decomposes into an image of a spectrum of four colors of G, B, and V, and R, G, and B that outputs each of the decomposed four-color image information of R, G, B, and V as electric signals For each of the image sensors corresponding to the four colors V and V and the output signals from these image sensors, a process for correcting aberrations caused by the optical system is performed , and the four colors R, G, B, and V are processed. comprising an image processing unit that performs processing corresponding to the respective, R outputted from the image processing unit, G, B, and a display unit that displays by mixing the synthesis of each of the image data of four colors of V, and the Image data from the image processing unit to the display unit is R, G, B, an output of four colors of independent color components V, which is achieved by expressing all colors for a four-color type color sense person and displaying them on the display unit .

  According to the present invention, since the V (purple) spectrum is digitally converted and four types of RGBV digital signals are used, the range of colors that can be displayed is widened and more realistic for a four-color type color sense person. A video with a feeling can be provided.

It is a figure explaining the color separation by a spectral prism. It is a figure which shows the structural example of a 3 color separation prism. It is a figure which shows the structural example of a 4 color separation prism. 1 is a block diagram illustrating an example of the overall configuration of a video system using four RGBV image signals according to an embodiment of the present invention. It is a figure explaining axial chromatic aberration. It is a figure explaining lateral chromatic aberration. It is a figure explaining a monochromatic chromatic aberration. It is a figure explaining a distortion aberration. It is a figure explaining the correction | amendment of R, B, and V on the basis of G. It is a figure explaining the structural example of the table which stored the theoretical value of the value which should correct | amend an aberration. It is a figure explaining the example which compares the image pattern about the image of R on the basis of the image of G by a specific example. It is a block diagram which shows the structure of the shift amount calculation process part which calculates the shift amount of the pixel of each image of R, B, and V contained in an image process part.

  Hereinafter, embodiments of a video system according to the present invention will be described in detail with reference to the drawings.

  Before describing an embodiment of the present invention, first, color separation by a spectral prism, a configuration example of a three-color separation prism, and a configuration example of a four-color separation prism used in an embodiment of the present invention will be described with reference to FIGS. 3 will be described.

  FIG. 1 is a diagram illustrating color separation by a spectral prism, FIG. 2 is a diagram illustrating a configuration example of a three-color separation prism, and FIG. 3 is a diagram illustrating a configuration example of a four-color separation prism.

  As shown in FIG. 1, the light 102 incident on the spectral prism 101 made of a transparent member such as a glass having a triangular cross-sectional shape is decomposed into light having a plurality of wavelengths by the incident light being decomposed by the refractive index of the prism. Is done. In general, since the refractive index of the prism increases as the wavelength of light becomes shorter, the incident light has a direction of larger refraction angle in the order of longer wavelength to shorter wavelength, that is, R103, G104, B105, and V106. The color is separated and emitted from the prism.

  In order to convert the spectrum of the decomposed light as described above into an electric signal, an image sensor using a charge coupled device (CCD) or a complementary metal oxide semiconductor (CMOS) is used.

  In general, in order to obtain an electrical signal of an image of each of the three colors RGB by using three CCDs or the like, R201, G202, After disassembling into B203, image sensors such as independent CCDs may be arranged for each of R, G, and B so as to convert light intensity into an electrical signal. Although FIG. 2 does not show an image sensor that converts the light and darkness of the decomposed light of R, G, and B into an electrical signal, each image sensor is provided on each of the exit surfaces of the decomposed R201, G202, and B203. What is necessary is just to be provided.

  A four-color separation prism for use in the RGBV video system according to the embodiment of the present invention that expresses all colors by mixing and synthesizing independent images of R, G, B, and V is shown in FIG. It has a cross-sectional shape as shown in FIG. The incident light on this prism is decomposed into R301, G302, B303, and V304 by the four-color separation prism. Then, in order to obtain an electrical signal of each of the four RGBV images by using the four image sensors, as in the case described with reference to FIG. An independent image sensor may be arranged for each so as to convert light intensity into an electrical signal.

  FIG. 4 is a block diagram showing an example of the overall configuration of a video system using RGBV four-color image signals according to an embodiment of the present invention. FIG. 4A shows a hardware configuration, and FIG. The image information which is the output of each component of embodiment of this invention is shown.

  As shown in FIG. 4A, the video system according to the embodiment of the present invention includes an RGBV video output device 401, a frame memory 405 corresponding to each color of RGBV used by the RGBV video output device 401, and an RGBV video output device. An RGBV compatible display device that displays a color image by mixing and synthesizing the image signals from 401.

  The RGBV video output device 401 may be, for example, a digital television camera, a digital video camera, or the like. The imaging lens, the four-color separation prism 402 as described with reference to FIG. A plurality of CCD image sensors 403 provided on each of the surfaces, a plurality of color analog electric signals from the CCD image sensor 403, each of which is converted into a digital signal and buffered in a corresponding plurality of frame memories 405 A plurality of digital signals buffered in the A / D converter 404 and the frame memory 405 are taken out, subjected to image processing according to the present invention, various distortions due to the lens are corrected, and the like, and output to an RGBV compatible display device. The image processing unit 406 is configured.

  The plurality of image processing units 406 described above are constructed in an information processing unit including a CPU, a storage device such as a main memory, and a logic circuit, and various functional units for correcting aberrations. The main memory device in the information processing means is constituted by a program, and is controlled by the CPU and logic circuit to perform the aberration correction operation in the embodiment of the present invention.

  In the above, as shown in FIG. 4B, the image 407 by the light input to the lens is imaged by the lens and input to the four-color separation prism 402, and R, G, The image is spectrally decomposed for each color of B and V. The spectrally decomposed image of each color is converted into an image signal by an analog electrical signal of each color by the CCD image sensor 403. The image signal based on the analog electric signal is converted into a digital signal for each color by the A / D converter 404 to form a frame image 408 of each color of R, G, B, V, and buffered in the frame memory 405.

  Then, as described above, the image processing unit 406 takes out the digital signal of each color buffered in the frame memory 405, performs image processing for correcting various distortions by the lens, and the frame image corrected for each color. 409 is generated and output to an RGBV compatible display device.

  In the embodiment of the present invention, the image processing unit 406 performs a process of correcting various distortions caused by the lens. Here, various distortions caused by the lens are shown in FIGS. The description will be given with reference.

  5 is a diagram for explaining axial chromatic aberration, FIG. 6 is a diagram for explaining chromatic aberration of magnification, FIG. 7 is a diagram for explaining monochromatic chromatic aberration, and FIG. 8 is a diagram for explaining distortion aberration.

  In general, when light is incident on a lens and the image is formed, an aberration is generated in the image that causes color blurring, blurring, and distortion.

  An example of axial chromatic aberration, which is one of aberrations, is shown in FIG. In FIG. 5, the focal point of red light passing through the lens 501 is farther from the lens than the focal point of purple light. That is, the focus of red light is closer to the lens than the focus of purple color. For this reason, as a result of the shift of the focal distance depending on the color, the image formed is also formed at a different position depending on the color, and the object formed by the lens 501 appears blurred.

  FIG. 6 shows an example of lateral chromatic aberration, which is one of lens aberrations. In general, as shown in FIG. 6, light is incident on the lens 601 from different angles as indicated by A and B. Even if the lens 601 has a different refractive index depending on the color and the distance to the focal point is the same, the focal position is shifted depending on the wavelength of the color. Blurs or blurs.

  FIG. 7 shows an example of monochromatic aberration that occurs even when attention is paid to light having a monochromatic spectral wavelength. When the position of the light incident on the lens 701 is toward the end of the lens 701 as indicated by A in FIG. 7, the light is focused at a position close to the lens 701 because the incident angle is steep. When the position of the light incident on the lens 701 is close to the center of the lens 701 as indicated by B in FIG. 7, the light is focused at a position far from the lens 701 because the incident angle is small. become. As a result, the color of the formed image is blurred or blurred.

  FIG. 8 shows an example of distortion that causes the image formed by the lens to appear distorted. The distortion includes barrel-shaped distortion and pincushion-type distortion, and as shown in FIG. 8 (a), the phenomenon of generating distortion so that the image is stiffened toward the periphery of the screen is referred to as barrel-shaped distortion. On the other hand, as shown in FIG. 8B, a case where distortion is generated such that an image extends toward the periphery of the screen is called a pincushion type distortion aberration.

  Since the imaging lens generates various aberrations as described above, it is output from the A / D converter 404 of the video system according to the embodiment of the present invention shown in FIG. 4 and input to the frame memory 405. The image is buffered in the frame memory 405 as an image 408 including aberration as described above. In the embodiment of the present invention, in order to correct such aberration, an image processing unit 406 is provided, and the plurality of image processing units 406 reduce the aberration described above for each of R, G, B, and V colors. The frame image 409 is output after correction.

  The correction of the above-described various aberrations in the image processing unit 406 is based on G (green), which has the visible light wavelength in the middle and the refractive index at the prism in the middle, and is difficult to receive the various aberrations described above. The other R (red), B (blue), and V (purple) images are corrected so as to overlap with the G (green) image. In this correction, the image processing unit 406 reads an image from the frame memory 405, performs a pattern comparison between the G and R images, a pattern comparison between the G and B images, and a pattern comparison between the G and V images. The R, B, and V shift amounts from the center of the G and G images are calculated for each pixel, or the screen is divided into a plurality of zones for each zone unit to calculate R, B, and V data. It is executed by performing a process for shifting by the shift amount.

  FIG. 9 is a diagram for explaining correction of R, B, and V with G as a reference. In the example shown in FIG. 9, the coordinates of the center pixel of G as a reference are (X, Y), and the coordinates of the center pixel of R to be superimposed on the center pixel of G are (X + 1, Y) as a result of the pattern comparison described above. -1), the coordinates of the center pixel of B are (X-1, Y + 1), and the coordinates of the center pixel of V are (X-3, Y + 1). In the embodiment of the present invention, the R, B, and V pixels are shifted in the X direction and the Y direction so as to overlap the G pixel position.

  FIG. 11 is a diagram illustrating a specific example of comparing image patterns for the R image with reference to the G image. FIG. 11A illustrates a specific example of the G image and the R image. FIG. 11B is a diagram for explaining pixel comparison and pixel alignment in an image.

  In the embodiment of the present invention, comparison of image patterns is performed by preparing three parameters: luminance for each pixel forming an image, shift amount for pixel alignment, and luminance difference of each pixel. . Each pixel has a luminance value in the range of 0 to 255 from the minimum luminance indicating the minimum brightness to the maximum luminance indicating the maximum brightness. In the embodiment of the present invention, this luminance value is used as a luminance parameter, a threshold is set for the R image, and the pixels of the R image to be compared with the G image are narrowed down. The shift amount parameter is a parameter for setting a pixel range to be compared in the R image with respect to one pixel in the G image. The accuracy of the image after comparison changes depending on the set value of the shift amount parameter. Further, the luminance difference parameter is a parameter for performing separation between “a pixel that can be compared” and “a pixel that should not be compared” with respect to a pixel that is separated according to a luminance value. This luminance difference parameter is a value in which the luminance value difference between the pixel of the G image and the pixel of the R image is set as the threshold value of the luminance difference parameter. Used for comparison purposes.

  A standard image 1001 (corresponding to the image 407 in FIG. 4B) as shown in FIG. 11A is split into G and R via a lens and a prism, and the G image 1002 and the R image. The image is shown as 1003. As described above, the embodiment of the present invention uses the luminance parameter for the G image 1002 and the R image 1003. In this example, the luminance parameter is set to “display luminance 200 or higher”, and pixels having a luminance value of 200 or higher in the R image 1003 are extracted. As a result, the pixels in the character portion shown in dark gray of the character illustrated in the R image 1003 ′ are pixels having a pixel luminance value of 200 or more, and the reference G image Extracted as a character part to be compared with the corresponding part. Here, a portion indicated as 1010 in the R image 1003 ′ to be compared is shown as a pixel to be compared because the pixel has a luminance value of 200 or more. On the other hand, a portion indicated as 1011 in the R image 1003 ′ to be compared is indicated as a pixel that has a luminance value of 200 or less and is not compared. The portions of the image remaining as comparison targets between the R image and the G image are the R image 1004 and the G image 1002 ′.

  Next, with reference to FIG. 11B, a process of comparing each pixel in the reference G image with each pixel in the R image will be described.

  Now, an arbitrary pixel in the reference G image is set as the reference pixel A, and a pixel A ′ in the R image at the same position as the pixel A in the G image is set as the comparison target pixel A ′. Compare. In this case, a block 1005 of 5 pixels × 5 pixels is created in the X-axis direction and the Y-axis direction 1006 around the reference pixel A of the G image. On the other hand, for the R image, a block 1015 of 3 × 3 pixels around the comparison target pixel A ′ is created. Note that a block shown as a block 1015 is a 3 × 3 pixel block created when the pixel at the center of the 3 × 3 pixel block is the comparison target pixel of the image R. Therefore, a block of 3 × 3 pixels when the pixel A ′ at the same position as the pixel A in the R image is set as the comparison target pixel A ′ is the block 1015 corresponding to one pixel in the X-axis direction and the Y-axis direction. Is a block shifted by one pixel.

  Then, as described above, a luminance value obtained by averaging the luminance values of nine pixels of 3 × 3 pixels centered on the comparison target pixel is calculated, and the average luminance value is calculated as an average luminance value of the comparison target pixel. The process is performed for all the pixels of the R image, and the result is stored in the position of the comparison target pixel. The result of the R image corresponding to the 5 × 5 pixel block 1005 of the G image created in this way is as shown as a block 1012.

  Thereafter, a pixel B1007 having an average value closest to the luminance value of the reference pixel A is searched for from the block 1012 having the comparison target pixel A ′ of the R image at the same position as the reference pixel A of the G image. At this time, pixels that should not be compared are excluded using the threshold value set as the threshold value of the luminance difference parameter. Here, the threshold set by the luminance difference parameter is the luminance of the reference pixel A ± 10, and pixels having a luminance difference within this luminance difference are set as comparison targets. In the example shown in FIG. 11 (b), pixels that fall within luminance ± 10 are shown as 1013 (pixels that display ◯), and pixels that do not apply are shown as 1009 (pixels that display ×). If the shift amount when trying to move the luminance value of the found pixel B1007 to the comparison target pixel A ′ is within the threshold set by the shift amount parameter, the luminance value of the pixel B1007 is set at the position of the comparison target pixel A ′. Shift to create a block as shown as 1014. If there is no pixel that satisfies the condition within the threshold set by the shift amount parameter in the block, the process of shifting the pixel value is not performed. By performing such processing for all pixels for one image, the R image can be matched with the G image. The 5 × 5 block having the comparison target pixel A ′ as the center after the R image is combined with the G image is as shown as 1008 in FIG.

  In the above description, the example in which the R image is combined with the G image has been described. However, the same applies to the case where the B image and the V image are combined with the G image. The image processing unit 406 shown in FIG. Then, the shift amount of all the pixels forming the image is obtained by the above-described processing.

Note that the average pixel value of the comparison target pixel A ′ is calculated by calculating a luminance value by averaging the luminance values of nine pixels of 3 × 3 pixels with the comparison target pixel A ′ as the central pixel (pixel position (x, y)). When the luminance value at each pixel position is indicated by the pixel position,
Average pixel value of comparison target pixel A ′ = {(x−1, y−1) + (x, y−1) + (x + 1, y−1) + (x−1, y) + (x, y)
+ (x + 1, y) + (x-1, y + 1) + (x, y + 1) + (x + 1, y + 1)} / 9
It can be performed by the following equation.

  FIG. 12 is a block diagram illustrating a configuration of a shift amount calculation processing unit that calculates the shift amount of pixels of each of the R, B, and V images included in the image processing unit. Next, referring to FIG. The process of saving, reading and rewriting the quantity will be described.

A shift amount calculation processing unit that calculates the shift amount of the pixel of each of the R, B, and V images is configured by the arithmetic unit 1101 and the shift amount storage memory 1100 as shown in FIG. The shift amount storage memory 1100 is a memory that holds the shift amount C ′ for one screen of the shift amount C ′ of each pixel of the R, B, and V images calculated by the calculation unit 1101. The initial value of the shift amount C ′ is 0. Further, the calculation unit 1101 calculates the shift amount C of each pixel obtained as described with reference to FIG. 11 and each pixel stored in the shift amount storage memory 1100 calculated by the calculation unit 1101 one time before. The shift amount C ′ is input, and the number of operations for the pixel at the same position is n.
C ′ = C × (1 / n) + C ′ × (n−1) / n
The shift amount C ′ is obtained by the following equation, and the shift amount C ′ of each pixel in the memory for each of the R, B, and V images in the shift amount storage memory 1100 is updated.

  By performing the processing as described above, the shift amount of one pixel converges to a constant value as the number of writes to the shift amount storage memory 1100 increases, that is, as the number of image comparisons increases. The shift amount C ′ of each pixel with respect to each of the R, B, and V images stored in the shift amount storage memory 1100 is output as a shift parameter, and the R, B, and V images are transferred to the G image. Used for tailoring. If the shift amount C cannot be calculated by the processing described with reference to FIG. 11, the calculation unit 1101 determines the shift amount C ′ stored in the shift amount storage memory 1100 at that time. The value is used instead of the shift amount C.

  In the above description, since other R, B, and V images are corrected based on G, the corrected output image 409 output from the image processing unit 406 shown in FIG. , G output images are shown as images G in the same illustration as those output from the A / D converter 404. The other R, B, and V images are shown as R ′, B ′, and V ′ in the corrected illustration.

  According to the embodiment of the present invention, the image processing unit 406 performs the correction on the image as described above, thereby correcting distortion and color blur in the optical system including the lens. R, G, B, and V corrected images can be output, and a color image 410 using four color digital signals can be displayed on a RGBV compatible display.

  In the above description, the image output unit 406 corrects other R, B, and V images on the basis of G for each color image including aberrations buffered in the frame memory. The image processing unit 406 prepares a table storing theoretical values of values to be corrected for aberrations in R, G, B, and V, respectively, and stores data in which distortion or color bleeding occurs. An image processing unit reads each image of R, G, B, and V, in which an image is read out from the frame memory 405 and the distortion and color blur are corrected by performing calculation using the table values for each pixel. It can be made to output from 406.

  FIG. 10 is a diagram for explaining a configuration example of a table storing theoretical values of values to be corrected for aberration. The table shown here is a table in which correction amounts of R, G, B, and V for each pixel are tabulated on the assumption that the display screen of the RGBV-compatible display device has 1920 pixels in the horizontal direction and 1080 pixels in the vertical direction. is there.

  The table shown in FIG. 10 includes data of screen coordinates, aberration correction coordinates of the pixel G indicating the correction amount of each color pixel, aberration correction coordinates of the pixel B, aberration correction coordinates of the pixel R, and aberration correction coordinates of the pixel V. The Each screen coordinate in the illustrated table is composed of a vertical coordinate and a horizontal coordinate, and is an integer value designated by a screen address counter (not illustrated) indicating a pixel position to be displayed.

  The aberration correction coordinates of the pixels (G, B, R, V) are numerical values of correction amounts including a decimal point set in pixel units indicated by the screen coordinates. It is expressed by an integer part represented by a decimal number and a decimal part represented by a binary number. The aberration correction coordinates do not necessarily have to be set in pixel units, and the screen can be divided into a plurality of zones and correction values can be set for each zone unit.

  The table as described above determines the correction amount for each color and each pixel by measuring by a method different from the present invention when the configuration of the lenses and prisms constituting the RGBV video output device 401 shown in FIG. 4 is determined. Therefore, it is sufficient to create in advance using the value.

  In the example using the table described above, aberration correction can be performed for G as well, so that distortion can be further reduced as compared with an example in which correction calculation of other R, B, and V images is performed on the basis of G. Can be displayed on an RGBV compatible display device.

  Even when the table as described above is used, other R, B, and V images can be corrected using G as a reference. In this case, the pixel G of the table shown in FIG. The aberration correction coordinate data becomes unnecessary, and the table configuration can be made smaller.

  According to the embodiment of the present invention described above, the V (purple) color component of the input optical image is extracted as color components independent of R (red), G (green), and B (blue), Since all the colors are expressed by mixing and synthesizing the four color images, it is possible to display an image that does not give a sense of discomfort to the four-color type color sense person. Since aberrations due to the optical system of the image are corrected by digital processing, it is not necessary to use multiple overlapping lenses to correct short wavelength chromatic aberration, and a relatively simple, compact and inexpensive optical system can be used. Even when used, it is possible to display an image free from aberrations caused by the optical system.

  INDUSTRIAL APPLICABILITY The present invention can be used in the field of television cameras, portable video cameras aiming for miniaturization and weight reduction, cameras including still cameras, medical devices for four-color color vision persons, cameras for research use, and the like. it can.

DESCRIPTION OF SYMBOLS 101 Spectral prism 401 RGBV video output device 402 Four color separation prism 403 CCD image sensor 404 A / D converter 405 Frame memory 406 Image processing unit 1100 Shift amount storage memory 1101 Calculation unit

Claims (9)

In a video system using four color image signals of R (red), G (green), B (blue) and V (purple),
A four-color separation prism for separating the light imaged by the lens into an image of a spectrum of four colors of R, G, B, and V;
An image sensor corresponding to each of the four colors R, G, B, and V that outputs each of the decomposed image information of the four colors R, G, B, and V as an electrical signal;
For each of the output signals from these image sensor, an image processing unit for performing performs processing for correcting the aberrations caused by the optical system, R, G, B, a process corresponding to each of the four colors and V,
And a display unit for displaying R outputted from the image processing unit, G, B, each image data of four colors of V mixed synthesized and,
The image data from the image processing unit to the display unit is an output of four colors of R, G, B, and independent color component V, and expresses all colors for a four-color type color sense person. A video system characterized by being displayed on a display unit . An A / D converter corresponding to each of the four colors R, G, B, and V, and a frame memory corresponding to each of the four colors R, G, B, and V;
The A / D converter converts each electrical signal of image information of four colors R, G, B, and V from the image sensor into digital data, and converts each of the four colors R, G, B, and V. Stored in the frame memory corresponding to
The video system according to claim 1, wherein the image processing unit acquires and processes image data of each of the four colors R, G, B, and V from the frame memory. For the image data read from the frame memory storing the image data in which distortion or color bleeding has occurred, the image processing unit uses another G image that is less susceptible to aberrations as a reference. The video system according to claim 2, wherein correction processing is performed so that the B, V, and V images are superimposed on the G image. The image processing unit compares image patterns of G and R of image data read from the frame memory storing image data in which distortion or color bleeding occurs, and image patterns of G and B Comparison, G and V image pattern comparison, shift amount of each corresponding pixel of R, B, V from each pixel of G image is divided for each pixel or screen is divided into a plurality of zones The video system according to claim 2, wherein processing is performed for each zone unit, and R, B, and V data are shifted by the calculated shift amount. Image pattern comparison between G and R of the image data, image pattern comparison between G and B, image pattern comparison between G and V are performed, and R, B, and V from each pixel of the G image are performed. In the process of calculating the shift amount of each corresponding pixel for each pixel, a luminance threshold value is set for the R, B, and V images to be compared with the G image, and the images should be compared with the set value of the luminance threshold value. The video system according to claim 4, wherein the video range is set. Image pattern comparison between G and R of the image data, image pattern comparison between G and B, image pattern comparison between G and V are performed, and R, B, and V from each pixel of the G image are performed. The processing for calculating the shift amount of each corresponding pixel for each pixel is performed for each of the R, B, and V images, and the shift amount C of each obtained pixel and each pixel of the previous image are calculated. And the number of operations for the pixel at the same position as n, according to the shift amount C ′ of each pixel calculated and stored in
C ′ = C × (1 / n) + C ′ × (n−1) / n
The video system according to claim 5, wherein the video system is performed by: A table further storing a theoretical value of a value to be corrected for aberration for each of R, G, B, and V in units of pixels or in units of zones in which the screen is divided into a plurality of zones;
The image processing unit reads image data from a frame memory that stores data in which distortion or color bleeding has occurred, and calculates the distortion or color by calculating each pixel using a table value. The video system according to claim 2, wherein the image data of each of R, G, B, and V corrected for blurring is output. 7. theoretical value to be corrected the stored aberration on the table, which is a correction amount of the pixel positions of the respective images of R with respect to the pixel position to be displayed, G, B, V The video system described. A table further storing a theoretical value of a value to be corrected for aberration in units of pixels or in units of zones obtained by dividing the screen into a plurality of zones;
The theoretical value of the value to be corrected for the aberration stored in the table is the correction amount of the pixel position of each of the R, B, and V images with respect to the pixel position of the G image data,
The image processing unit reads image data from a frame memory that stores data in which distortion or color bleeding has occurred, and calculates the distortion or color by calculating each pixel using a table value. The video system according to claim 2, wherein the image data of each of R, B, and V in which blur is corrected and the image data of G that is not corrected are output.