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Proceedings Paper

Wavelet-based image compression scheme with the error-resilient entropy coding (EREC) for noisy channels
Author(s): Duc Hai N. Do; Terry L. Jones; David L. Ii; Harold H. Szu; Victor C. Stievenart; Tracey Beauchat
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Paper Abstract

The error resilient entropy coding of the Cambridge University group adapts variable-length blocks of data into fixed-length slots with known positions, in order to protect against possible channel errors during transmission of the discrete wavelet transform (DWT) coefficients. These coefficients have ben compressed based on the standard compression scheme using scalar quantization, runlength and Huffman coding. The DWT bi-orthogonal wavelet is used. The code is illustrated with relatively good performance for FLIR images, compressed at up to 0.09 bits per pixel, and bit error rates at about 10-3. No additional attempt is made to perform decompression restoration.

Paper Details

Date Published: 3 April 1997
PDF: 15 pages
Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271769
Show Author Affiliations
Duc Hai N. Do, U.S. Army Night Vision & Electronics Sensors Directorate (United States)
Terry L. Jones, U.S. Army Night Vision & Electronics Sensors Directorate (United States)
David L. Ii, U.S. Army Night Vision & Electronics Sensors Directorate (United States)
Harold H. Szu, Naval Surface Warfare Ctr. (United States)
Victor C. Stievenart, EOIR Measurements, Inc. (United States)
Tracey Beauchat, EOIR Measurements, Inc. (United States)


Published in SPIE Proceedings Vol. 3078:
Wavelet Applications IV
Harold H. Szu, Editor(s)

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