Image Denoising Using a Bishrink Filter with Reduced Sensitivity

The performance of image denoising algorithms using the Double Tree Complex Wavelet Transform, DT CWT, followed by a local adaptive bishrink filter can be improved by reducing the sensitivity of that filter with the local marginal variance of the wavelet coefficients. In this paper is proposed a solution for the sensitivity reduction based on enhanced diversity. First the advantages and disadvantages of a state-of-the-art denoising solution, based on the association DT CWT -bishrink filter are highlighted. Second a blind noise-suppression method correcting the disadvantages of the bishrink filter, performing a non-linear operation on the data is obtained. Finally, some simulation examples prove the performances of the proposed denoising method.