Share Email Print
cover

Proceedings Paper

Ultraspectral sounder data compression using a novel marker-based error-resilient arithmetic coder
Author(s): Bormin Huang; Y. Sriraja; Shih-Chieh Wei
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Entropy coding techniques aim to achieve the entropy of the source data by assigning variable-length codewords to symbols with the code lengths linked to the corresponding symbol probabilities. Entropy coders (e.g. Huffman coding, arithmetic coding), in one form or the other, are commonly used as the last stage in various compression schemes. While these variable-length coders provide better compression than fixed-length coders, they are vulnerable to transmission errors. Even a single bit error in the transmission process can cause havoc in the subsequent decoded stream. To cope with it, this research proposes a marker-based sentinel mechanism in entropy coding for error detection and recovery. We use arithmetic coding as an example to demonstrate this error-resilient technique for entropy coding. Experimental results on ultraspectral sounder data indicate that the marker-based error-resilient arithmetic coder provides remarkable robustness to correct transmission errors without significantly compromising the compression gains.

Paper Details

Date Published: 1 September 2006
PDF: 9 pages
Proc. SPIE 6300, Satellite Data Compression, Communications, and Archiving II, 63000C (1 September 2006); doi: 10.1117/12.682439
Show Author Affiliations
Bormin Huang, Univ. of Wisconsin, Madison (United States)
Y. Sriraja, Univ. of Wisconsin, Madison (United States)
Shih-Chieh Wei, Tamkang Univ. (Taiwan)


Published in SPIE Proceedings Vol. 6300:
Satellite Data Compression, Communications, and Archiving II
Roger W. Heymann; Charles C. Wang; Timothy J. Schmit, Editor(s)

© SPIE. Terms of Use
Back to Top