Image Denoising Based on Wiener Filtering in Wavelet Domain and Anisotropic Diffusion
Weiwei Wang · Computer Engineering and Applications Journal · 2006
A new image denoising method based on wavelet and anisotropic nonlinear diffusion is presented.Among the popular wavelet based image denoising methods,locally Wiener filtering with thresholding is a simple but efficient one.The authors use this scheme to get a cleaner image.Then this cleaner version is used as a guide to get the edge testing function in nonlinear diffusion to reduce noise in the original image.Experimental results show that important features in images,such as edges,can be well recovered and most noise components in uniform parts can be removed.The new method performs well both from the common used objective standards and from visual.