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Proceedings Paper

Wavelet-based zerotree coding of aerospace images
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Paper Abstract

This paper presents a wavelet based image coding method achieving high levels of compression. A multi-resolution subband decomposition system is constructed using Quadrature Mirror Filters. Symmetric extension and windowing of the multi-scaled subbands are incorporated to minimize the boundary effects. Next, the Embedded Zerotree Wavelet coding algorithm is used for data compression method. Elimination of the isolated zero symbol, for certain subbands, leads to an improved EZW algorithm. Further compression is obtained with an adaptive arithmetic coder. We achieve a PSNR of 26.91 dB at a bit rate of 0.018, 35.59 dB at a bit rate of 0.149, and 43.05 dB at 0.892 bits/pixel for the aerospace image, Refuel.

Paper Details

Date Published: 7 June 1996
PDF: 10 pages
Proc. SPIE 2750, Digital Signal Processing Technology, (7 June 1996); doi: 10.1117/12.241985
Show Author Affiliations
Victoria T. Franques, Univ. of South Florida/Tampa (United States)
Vijay K. Jain, Univ. of South Florida/Tampa (United States)


Published in SPIE Proceedings Vol. 2750:
Digital Signal Processing Technology
Joseph Picone, Editor(s)

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