8 September 2011 Two-step local Wiener filter using dual-tree complex wavelet transform
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Abstract
Amongst various image denoising methods, the Wiener filter is known to be a mean-square optimal linear estimator for the true underlying image. The idea behind the Wiener filter frequently emerged in other image denoising algorithms. In this paper, we present a new denoising scheme for the Wiener filter. The algorithm is carried out by two subsequent steps. The output for the first step is used as the input for the second step. The ratio between the two step denoising amounts plays an important role for good performance. The relationship between the proposed method and the heat diffusion equation is established. The experiments show the proposed method outforms some of the denoising algorithm published currently.
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Xiao-bo Zhang, Xiang-chu Feng, "Two-step local Wiener filter using dual-tree complex wavelet transform", Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81930D (8 September 2011); doi: 10.1117/12.897281; https://doi.org/10.1117/12.897281
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