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Proceedings Paper

Combining speckle reduction and data compression for synthetic aperture radar (SAR) images in wavelet domain
Author(s): Punya Thitimajshima
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Paper Abstract

The wavelet transform is widely used in both speckle reduction and dat compression of SAR image. Thus, it is very efficient to integrate these two procedures in a single process. IN this research, an input image is first subject to a logarithmic operation. The image is then transformed by using multi level wavelet decomposition. The variance of noise is estimated from the data to determine the threshold, which is used for soft-thresholding the wavelet coefficients. For each subband, the obtained wavelet coefficients are quantized and finally entropy encoded to produce the output bit stream of the image. The advantage of this method is that both speckle reduction and image compression are performed in wavelet domain. Experimental results on JERS-1/SAR images are also given.

Paper Details

Date Published: 4 December 2000
PDF: 5 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408584
Show Author Affiliations
Punya Thitimajshima, King Mongkut's Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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