Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Digital Image Enhancement and Noise Filtering by Use of Local Statistics
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
IEEE Transactions on Image Processing
The SURE-LET Approach to Image Denoising
IEEE Transactions on Image Processing
Gradient-based Wiener filter for image denoising
Computers and Electrical Engineering
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In this paper, we propose an adaptive multiple steps local Wiener filter image denoising algorithm in the wavelet domain. This algorithm can be considered as a discretized implementation of adaptive heat diffusion equation, and is carried out by multiple successive steps. The denoised output from one iteration is taken as the input to the next. The proper iteration number is determined by total denoising amount which is measured by noise variance. The selected local window sizes are also relatively stable. The experimental results show the effectiveness of the proposed method.