Efficient error-resilient codes for sparse image coefficients

Niann Tsyk Cheng; Nick G. Kingsbury

doi:10.1117/12.24277

1 September 1990 Efficient error-resilient codes for sparse image coefficients

Niann Tsyk Cheng, Nick G. Kingsbury

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24277
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

Abstract

In many source and data compression schemes, information relating to positions of high energy samples or areas of importance often needs to be relayed to the decoder. The error resilient positional code (ERPC) is an efficient fixed rate coding scheme for encoding such positional information, or equivalently, sparse binary data patterns. It has also been designed with good channel error robustness properties, whose performance degrades gracefully with worsening channel conditions, without the possibility of breakdown or loss of sync. In this paper, the coding efficiency of the ERPC is compared to a few other standard schemes, and as well as being efficient, its error extension is shown to be low and non-catastrophic. The ERPC is then applied to an efficient error robust adaptive image coding example based on a SBC/VQ codec capable of operating in harsh channel conditions without the aid of channel coding.

Citation Download Citation

Niann Tsyk Cheng and Nick G. Kingsbury "Efficient error-resilient codes for sparse image coefficients", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24277

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