A video transmission system based on human visual model

Abstract

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