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Volume 33 Issue 5
Jun.  2011
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Jia Jian, Chen Li. SAR Image Despeckling Based on Bivariate Threshold Function in NSCT Domain[J]. Journal of Electronics & Information Technology, 2011, 33(5): 1088-1094. doi: 10.3724/SP.J.1146.2010.00893
Citation: Jia Jian, Chen Li. SAR Image Despeckling Based on Bivariate Threshold Function in NSCT Domain[J]. Journal of Electronics & Information Technology, 2011, 33(5): 1088-1094. doi: 10.3724/SP.J.1146.2010.00893

SAR Image Despeckling Based on Bivariate Threshold Function in NSCT Domain

doi: 10.3724/SP.J.1146.2010.00893
  • Received Date: 2010-08-19
  • Rev Recd Date: 2010-11-02
  • Publish Date: 2011-05-19
  • Considering the dependencies between the coefficients of Contourlet transform and their parents coefficients, a non-Gaussian bivariate distribution is given, and corresponding nonlinear threshold function is derived from the model using Bayesian estimation theory. Combined nonlogarithmic additive model of SAR image with bivariate threshold function, a novel SAR image despeckling based on bivariate threshold function in Non-Subsampled Contourlet Transform domain (NSCT) is proposed. Experimental results for speckle reduction on amplitude and intensity of SAR images demonstrate that the method holds a good ability of radiometric preservation, the speckle is despeckled well in homogeneous regions, edges and textures of despeckled image are also clear.
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