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Proceedings Paper

Macroscopic multistage image compression for robust transmission over noisy channels
Author(s): Greg Sherwood; Kenneth Zeger
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Paper Abstract

We propose a macroscopic multistage compression system to provide progressive and robust transmission of images across noisy channels with varying statistics. Each stage encodes the residual image of the previous stage. The choice of source coder and transmission rate at each stage are design parameters. The multistage structure allows the use of efficient unequal error protection channel coding and introduces source redundancy to enable graceful degradation under severe channel conditions. Both bit errors and packet losses are considered. Specific examples are provided to demonstrate the performance of the proposed method.

Paper Details

Date Published: 28 December 1998
PDF: 11 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334721
Show Author Affiliations
Greg Sherwood, Univ. of California/San Diego (United States)
Kenneth Zeger, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

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