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Proceedings Paper

SAR image compression using wavelets
Author(s): Chi-Man Kwan; Baoxin Li; Roger Xu; Trac D. Tran; Truong Q. Nguyen
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Paper Abstract

A new wavelet based image coder is proposed for SAR image compression. The coding technique known as OBTWC (Overlapped Block Transform Wavelet Coder) consists of three steps. First, a set of overlapped block transforms is used to transform the image data into 8 X 8 blocks in the frequency domain. Second, a mapping is then performed to convert the transformed image into a multiresolution representation that resembles the zero-tree wavelet transform. Third, the multiresolution representation is then coded by a conventional dyadic wavelet coder, which basically truncates the high frequency contents in a very efficient manner. Our proposed method essentially combines the advantages of both block transform and wavelet coding techniques while eliminating their respective weaknesses. The image compression algorithm was applied to SAR images supplied by Air Force, Army, and NASA. The compression performance in terms of Peak Signal-to-Noise Ratio is better than that of a commercial wavelet coder in the market.

Paper Details

Date Published: 26 March 2001
PDF: 9 pages
Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); doi: 10.1117/12.421215
Show Author Affiliations
Chi-Man Kwan, Intelligent Automation, Inc. (United States)
Baoxin Li, Univ. of Maryland/College Park (United States)
Roger Xu, Intelligent Automation, Inc. (United States)
Trac D. Tran, Johns Hopkins Univ. (United States)
Truong Q. Nguyen, Boston Univ. (United States)


Published in SPIE Proceedings Vol. 4391:
Wavelet Applications VIII
Harold H. Szu; David L. Donoho; Adolf W. Lohmann; William J. Campbell; James R. Buss, Editor(s)

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