Synthetic Aperture Radar (SAR) images are contaminated by multiplicative
noise, due to the coherence of the radar wavelength, labeled as speckle noise which
results in an important reduction in the efficiency of target detection and
classification algorithms . In this paper the corrupted pixels are replaced by an
estimated value using the simple filter based statistics filters with nonlinear
function which are worked at the same time to reduce the speckle noise without
blurring edges or other features in SAR imagery. Quantitative and qualitative
comparisons of the results obtained by the proposed method with the results
achieved from the other speckle noise reduction filters demonstrate its higher
performance for speckle reduction with preserving high frequency features (edges)
in SAR images.