Side-match vector quantization design for noisy channel

Chung Jung Kuo; Chang S. Lin

doi:10.1117/12.185931

16 September 1994 Side-match vector quantization design for noisy channel

Chung Jung Kuo, Chang S. Lin

Author Affiliations +

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185931
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

Side-match vector quantization is an attractive finite-state coding technique for images. This research shows that the side-match vector quantization is similar to catastrophic code where infinite number of decoding errors is caused by a finite number of channel errors. A 1D side- match vector quantization is first proposed to limit the error propagation across different row of blocks when the channel is noisy. Then three tests are proposed for noisy rows detection with minimum overhead information. These tests include the 1D side-match vector quantization decoding test, double-row test, and triple-row test. Finally, a modified Viterbi algorithm is proposed to decode the images encoded by the 1D side-match vector quantization.

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Chung Jung Kuo and Chang S. Lin "Side-match vector quantization design for noisy channel", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185931; https://doi.org/10.1117/12.185931

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