Combining speckle reduction and data compression for synthetic aperture radar (SAR) images in wavelet domain

Punya Thitimajshima

doi:10.1117/12.408584

4 December 2000 Combining speckle reduction and data compression for synthetic aperture radar (SAR) images in wavelet domain

Punya Thitimajshima

Author Affiliations +

Proceedings Volume 4119, Wavelet Applications in Signal and Image Processing VIII; (2000) https://doi.org/10.1117/12.408584
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

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Punya Thitimajshima "Combining speckle reduction and data compression for synthetic aperture radar (SAR) images in wavelet domain", Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); https://doi.org/10.1117/12.408584

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