Kalman-s Shrinkage for Wavelet-Based Despeckling of SAR Images

In this paper, a new probability density function (pdf) is proposed to model the statistics of wavelet coefficients, and a simple Kalman-s filter is derived from the new pdf using Bayesian estimation theory. Specifically, we decompose the speckled image into wavelet subbands, we apply the Kalman-s filter to the high subbands, and reconstruct a despeckled image from the modified detail coefficients. Experimental results demonstrate that our method compares favorably to several other despeckling methods on test synthetic aperture radar (SAR) images.

Authors:

• Mario Mastriani
• Alberto E. Giraldez

Keywords:

• Kalman's filter
• shrinkage
• speckle
• wavelets.

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