Image Denoising Based on Combination of Wiener Filter and Wavelet Shrinkage
Wenzhan Dai, Yulei Ye · 2007
First, a new thresholding function based on the wavelet shrinkage is presented. The shortcoming of discontinues function in hard thresholding and of the permanent bias in soft thresholding can be overcome. And then a new image de-noising approach based on combination of Wiener filter and wavelet shrinkage is also put forward. In this new approach, First, a new thresholding function based on the wavelet shrinkage is presented. The shortcoming of discontinues function in hard thresholding and of the permanent bias in soft thresholding can be overcome. And then a new image de-noising approach based on combination of Wiener filter and wavelet shrinkage is also put forward. In this new approach, the image noise is filtered out while the edges of image are well preserved. Simulation result shows that the new approach presented in this paper is more effective and predominant than other de-noising methods.he image noise is filtered out while the edges of image are well preserved. Simulation result shows that the new approach presented in this paper is more effective and predominant than other de-noising methods.