Speckle denoising using wavelet transforms and higher-order statistics

Samuel Peter Kozaitis; Anurat Ingun

doi:10.1117/12.542169

15 July 2004 Speckle denoising using wavelet transforms and higher-order statistics

Samuel Peter Kozaitis, Anurat Ingun

Proceedings Volume 5438, Visual Information Processing XIII; (2004) https://doi.org/10.1117/12.542169
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Samuel Peter Kozaitis and Anurat Ingun "Speckle denoising using wavelet transforms and higher-order statistics", Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); https://doi.org/10.1117/12.542169

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