Gu, JunfengJiang, YiminBaras, John S.This paper presents a practical architecture for joint source-channel coding of human visual model-based video transmission over a satellite channel. Perceptual distortion model 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 the scalability of video quality. <p>In order to conceal errors occurring 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 proposed. 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.<P><Center><I>The research and scientific content in this material has been submitted to Globecom'99.</I></Center>en-USdata compressiondetectionerror detection codesimage processing3-D waveletHVSJNDIntelligent Signal Processing and Communications SystemsTechnical Report