Combined Source-Channel Image Coding Using Tree-Structured Vector Quantization and Sequential Decoding

Kurzfassung

We propose a flexible system for combined source-channel image coding for the AWGN channel. The system can operate over a wide range of channel SNR values by changing the way it allocates bits between source and channel coding. The system is based on tree-structured vector quantization and soft-decision sequential decoding with maximum aposteriori metric. The rate at which images are communicated and the channel bit rate are constant in all modes of operation. In this paper the system is presented, its simulated performance is discussed, and the metric it employs for sequential decoding is derived.