Speckle suppression of SAR images based on wavelet singularity detection

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)593-601
Journal / PublicationDynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms
Issue number4
Publication statusPublished - Aug 2007


A new algorithm for speckle suppression in synthetic aperture radar (SAR) images based on wavelet singularity detection is presented. The wavelet coefficients of the SAR images that correspond to the regular parts of the signal are first selected by Mallat's wavelet transform modulus maxima (WTMM) approach. Then, the singularity of the residuary wavelet coefficients is detected in every scale by using the Lipschitz-Hölder exponents, which represents the singularity strength of noise. Speckles can then be suppressed by a weighted averaging filter with coefficients determined by the Lipschitz-Hölder exponents. The final image is formed by the fusion of the selected thematic signals and the Lipschitz-Hölder exponent based weighted averaging parts. As demonstrated by the simulations, this approach can improve the denoising effect, in terms of speckle suppression, edge preservation, equivalent number of look (ENL), and radiometric resolution, as well as the visually-natural images generated. Copyright ©2007 Watam Press.

Research Area(s)

  • Land application, Lipschitz-Hölder exponent, SAR image, Singularity, Speckle reduction, WTMM