Model-reference Color Reproduction for Video System based on Back-propagation Network

• Main Authors: Chih-Chiang Tai, 戴志強
• Other Authors: Po-Rong Chang
• Format: Others
• Language: en_US
• Published: 1993
• Online Access: http://ndltd.ncl.edu.tw/handle/96262024284437634250

碩士 === 國立交通大學 === 電信研究所 === 81 === This paper presents a new adaptive color correction process for High Definition Television (HDTV) system based on human perception model. To achieve the high-fidelity color , it requires eliminating the color error sources resulted camera, monitor, intermediate color image processing and mutual interaction. The intermediate processing may include coding/ decoding, quantization, and modulation/demodulation. the mutual interaction denotes the color gamut mismatch and resolution conversion between camera and monitor. It can be that those color error sources of unknown form are highly nonlinear. Hence, a cost-effective adaptive control scheme consisting of both back-propagation neural net controller forward model is proposed to overcome the difficulty of with both nonlinearity and model-identification of the HDTV systems. The forward model is used to convert the plant error (color difference) into control signal error for the back-propagation controller. Furthermore, the values of derivative-related parameters of the forward model are by Hornik's multi-layer neural net identification process. In addition, it is noted that the measure of the color (plant output error) should be quantified by uniform color in order to perform the system control. Finally, the effectiveness of our method is being verified by a number of experiments.