Self-adaptive Denoising for SAR Image Based on Shearlet Transform
Gong Zhang · Electronic Science and Technology · 2012
In view of the characteristics of relevant speckle noise of SAR images,this paper proposes a self-adaptive shrinkage method for denoising based on Shearlet transform.First,the image is processed with Shearlet transform.Then,the Shearlet coefficient is contracted by the self-adaptive shrinkage method considering the noise measurement and the relevance of multi-scale spaces.Finally,one image is reconstructed through the inverse Shearlet transform using the amended coefficient.The experiments indicate that the algorithm can wipe off the relevant speckle noise of SAR images and has strong capability of maintaining the edge.