Chinese Optics Letters, 2006, 4 (2): 0280, Published Online: Jun. 6, 2006  

Adaptively wavelet-based image denoising algorithm with edge preserving Download: 544次

Author Affiliations
State Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan 430074
Abstract
A new wavelet-based image denoising algorithm, which exploits the edge information hidden in the corrupted image, is presented. Firstly, a canny-like edge detector identifies the edges in each subband. Secondly, multiplying the wavelet coefficients in neighboring scales is implemented to suppress the noise while magnifying the edge information, and the result is utilized to exclude the fake edges. The isolated edge pixel is also identified as noise. Unlike the thresholding method, after that we use local window filter in the wavelet domain to remove noise in which the variance estimation is elaborated to utilize the edge information. This method is adaptive to local image details, and can achieve better performance than the methods of state of the art.

Yihua Tan, Jinwen Tian, Jian Liu. Adaptively wavelet-based image denoising algorithm with edge preserving[J]. Chinese Optics Letters, 2006, 4(2): 0280.

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