A Video Transmission System Based on Human Visual Model

This paper presents a joint source-channel coding scheme of digital video broadcasting over satellite channel. The video compression is based on human visual model. Perceptual distortion model the just-noticeable-distortion (JND) is applied to improve the subjective quality of compressed videos. 3-D wavelet decomposition can remove spatial and temporal redundancy and provide scalability of video quality. In order to conceal the errors occurred under bad channel conditions, a novel slicing method and a joint source channel coding scenario that combines RCPC with CRC and utilizes the distortion information to allocate convolutional coding rates are presented. A new performance index based on JND is proposed and used to evaluate the overall performance at different signal-to-noise ratios(SNR). Our system uses OQPSK modulation scheme.