Based on CIE1931 Multi-Channel Color Conversion and Point-by-Point Calibration Optimization Method for LED Displays

With the development of display technology, the demand for high-fidelity color reproduction in LED displays has become increasingly prominent. Aiming at the problems of color gamut mismatch between video sources and display devices, complexity of multi-channel signal conversion, and chromaticity non-uniformity of pixels, this study constructs a systematic optimization scheme based on the CIE1931 color space. First, a color gamut mapping model from BT2020 to sRGB is designed, achieving minimum perceptual error under gamut compression through optimization of the color difference function. Second, for the conversion requirement from four channels to five channels, a multi-primary color mapping method integrating linear transformation and residual compensation is proposed to enhance color gamut expression capability using the new channels. Additionally, a point-by-point calibration algorithm based on local response function inversion is developed to solve the problem of pixel display non-uniformity. Test results show that the proposed method significantly improves color reproduction accuracy and display uniformity, providing theoretical and technical support for the design and optimization of high-performance LED displays.