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Proceedings Paper

Speckle denoising using wavelet transforms and higher-order statistics
Author(s): Samuel Peter Kozaitis; Anurat Ingun
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Paper Abstract

We reduced speckle noise in SAR imagery by retaining only those wavelet coefficients with significant third-order correlation coefficients. These coefficients were generated from the cross-correlation functions of the image and wavelet basis functions. Using this approach, we compared the results between directly applying our denoising method, and first preprocessing by taking the logarithm of an image. In our approach, we examined wavelet coefficients in an environment where the contribution from the second-order moment of the noise had been reduced.

Paper Details

Date Published: 15 July 2004
PDF: 7 pages
Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); doi: 10.1117/12.542169
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Anurat Ingun, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5438:
Visual Information Processing XIII
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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