Paper
26 March 2001 SAR image compression using wavelets
Chi-Man Kwan, Baoxin Li, Roger Xu, Trac D. Tran, Truong Q. Nguyen
Author Affiliations +
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chi-Man Kwan, Baoxin Li, Roger Xu, Trac D. Tran, and Truong Q. Nguyen "SAR image compression using wavelets", Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); https://doi.org/10.1117/12.421215
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Wavelets

Synthetic aperture radar

Image compression

Wavelet transforms

Signal attenuation

Mirrors

Signal to noise ratio

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