System and method of expanding laser TV color gamut

Abstract

The invention relates to a system of expanding a laser TV color gamut and a method of expanding the laser TV color gamut. The method expands and simplifies the gamut into a plurality of operation units with small amount of calculation, reduces the hardware realization cost of color gamut expansion and improves the reliability of the system. Standard color gamut video RGB signals which are input are decoded into RGB digital signals by the method. The RGB digital signals are converted to laser RGB signals after respectively passing through a color gamut conversion matrix. A saturation coefficient C is obtained after saturation normalization. Maximum saturation RGB signals are obtained after saturation maximization and the signals are used as indexes to obtain a color gamut expansion coefficient K. The laser color gamut RGB signals, the saturation coefficient and the expansion coefficient K are subjected to a color gamut expansion treatment. Finally, laser TV driving RGB signals subjected to the color gamut expansion are obtained.

Description

technical field [0001] The invention belongs to the field of laser TV video display, in particular to a low-cost and high-efficiency laser TV color gamut expansion system and method. Background technique [0002] Broadcast television standards (such as SMPTE-C, EBU, ITU-R.BT.709, and sRGB, etc.) define the color gamut based on the three primary color characteristics of CRT displays. However, the color gamut of a CRT display can only display about 76% of the colors in nature, and many highly saturated colors cannot be displayed. In recent years, wide color gamut display technology has gradually become a research hotspot in the field of display. Many wide color gamut TVs have been developed one after another, such as multi-primary color TVs, LED TVs and laser TVs. The three primary colors of laser TVs have extremely narrow spectra. , high color purity, high brightness and other characteristics, its display color gamut can reach about 170% of the CRT color gamut, which is the ...

AI Technical Summary

Problems solved by technology

Since video color gamut mapping requires real-time processing, there are extremely strict requirements on hardware computing speed. In the consumer market that has strict requirements on cost, the above algorithm is obviously difficult to apply in practice.

There is also a color gamut mapping architecture based on a three-dimensional lookup table, which still requires a lot of resources to implement data storage and data interpolation operations, and the accuracy of the linear interpolation algorithm is not high

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