Method of extracting wide color gamut data by determining matrix coefficient method by spectral segmentation

Abstract

The invention relates to a method for extracting wide color gamut data by determining matrix coefficients through spectral segmentation. The method comprises the steps that the visible spectrum rangeof 380 nm to 780 nm is segmented to determine matrix circuit coefficients in different spectral bands; for the portion having positive tri-stimulus values of red, green and blue, the matrix coefficient of the corresponding color is 1, and the coefficients of the other two colors are 0; for the portion having negative tri-stimulus values of red, green and blue, the negative value red light data isobtained from positive value green and blue light, the negative value green light data is obtained from positive value red and blue light, the negative value blue light data is obtained from positivevalue red and green light, and linear matrix coefficient values are respectively determined by limiting the root mean square error, the correlated coefficients and the integral area; and the obtaineddata can be transmitted, received and processed according to relevant general standards to display a wide color gamut image. The invention provides an effective method for extracting color data, and the data is accurate and highly robust. The obtained matrix coefficient values can cover all color gamuts of visible light.

Description

technical field [0001] The invention relates to a method for extracting wide color gamut data by determining matrix coefficients by spectrum segmentation, and belongs to the technical field of video display. Background technique [0002] High dynamic range (High Dynamic Range, HDR) display technology is a hot topic of current research. To present a perfect HDR image, two conditions need to be met, the first is high contrast, and the second is excellent color expression, and the size of the color gamut is an important parameter to measure the range of color expression. Realizing Wide Color Gamut (WCG) has become an important research goal in HDR display systems. [0003] At present, the color gamut coverage rate of the conventional R (Red, red), G (Green, green), B (Blue, blue) three-primary color system is only 33.25%, while the color range that exists in nature and can be perceived by the human eye is much larger on this coverage. Since the Pointer color gamut basically ...

AI Technical Summary

Problems solved by technology

[0007] In Appendix A of the international standard ITU-R BT.1361, it is proposed to transmit part of the negative signal to expand the color gamut. In fact, at the camera end, all the values ​​in the PAL spectral response curve (including positive and Negative value), and the display terminal can restore all these values ​​(including positive and negative values), then all the colors of light in the visible spectrum can be presented, but this is very difficult

Accurately acquired on the camera side figure 2 These negative signals are very difficult, and it is also difficult for the display to display the colors represented by these negative signals.

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