Research on Colorimetric Characterization of LCD Based on GA-Elman Neural Network

Colorimetric characterization for LCD displays reduces the distortion of the image color information during copying by the display device, enabling accurate transmission of the same image across different display devices. In this paper, we present a GA-Elman model based on the Elman neural network and optimized using genetic algorithm (GA). The color space conversion from RGB to CIEXYZ is established using the GA-Elman neural network, and finally the model accuracy is analyzed. A large number of experimental results show that the maximum chromatic aberration of the model is 2.0800, the average chromatic aberration is 0.7300, and the chromatic aberration performance is excellent, which can meet the accuracy requirements of colorimetric characterization of LCD.