A Practical Transmission System Based on the Human Visual Model for Satellite Channels

نویسندگان

  • Junfeng Gu
  • Yimin Jiang
  • John S. Baras
چکیده

This paper presents a practical architecture for joint source-channel coding of human visual model based video transmission over satellite channel. Perceptual distortion model justnoticeable-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 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.

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تاریخ انتشار 1999