Locally adaptive threshold SAR image denoising in complex wavelet packet domain

A novel SAR image denoising scheme based on the quad-tree complex wavelet packets transform (QCWPT) was presented to achieve the tradeoff between details retainment and noise removal. A new threshold method was used in the proposed scheme, and the QCWPT detail coefficients were shrunk via calculating the locally adaptive shrinkage factors with reference to the QCWPT coefficients within the neighborhood window. Experimental results show that the proposed denoising algorithm is possible to achieve an excellent balance between suppresse speckle noise effectively and preserve as many image details and edges as possible.