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This paper presents a new approach for filter design based on stochasticdistances and tests between distributions. A window is defined around eachpixel, overlapping samples are compared and only those which pass agoodness-of-fit test are used to compute the filtered value. The technique isapplied to intensity SAR data with homogeneous regions using the Gamma model.The proposal is compared with the Lee's filter using a protocol based on MonteCarlo. Among the criteria used to quantify the quality of filters, we employthe equivalent number of looks, line and edge preservation. Moreover, we alsoassessed the filters by the Universal Image Quality Index and the Pearson'scorrelation on edges regions.

A New Algorithm of Speckle Filtering using Stochastic Distances