Image denoising algorithm via Wiener filtering with elliptic directional windows combine anisotropic diffusion in complex wavelet domain

Local Winer filtering in the wavelet domain is an effective image denoising method of low complexity.In this letter, we propose a image denoising method based on Dual-Tree complex wavelet with ellipse windows thresholding combining anisotropic diffusion in image denoising algorithm, where the elliptic windows are used for different oriented subbands in order to estimate the signal variances of noisy wavelet coefficients. Authors use the complex wavelet which has stronger directional ability and local 6 directional Wiener filter to get a "clearer image", then use "clearer image" guidance the diffusion function of anisotropic diffusion to reduce noise in the image .The experimental results show that the proposed algorithm improves the denosing performance significantly.