Image denoising with neighbour dependency and customized wavelet and threshold

Authors:
G. Y. Chen;T. D. Bui;A. Krzyak
Affiliations:
Department of Computer Science, Concordia University, 1455 De Maisonneuve West, Montreal, Que., Canada H3G 1M8;Department of Computer Science, Concordia University, 1455 De Maisonneuve West, Montreal, Que., Canada H3G 1M8;Department of Computer Science, Concordia University, 1455 De Maisonneuve West, Montreal, Que., Canada H3G 1M8
Venue:
Pattern Recognition
Year:
2005

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Abstract

Image denoising by means of wavelet transforms has been an active research topic for many years. For a given noisy image, which kind of wavelet and what threshold we use should have significant impact on the quality of the denoised image. In this paper, we use Simulated Annealing to find the customized wavelet filters and the customized threshold corresponding to the given noisy image at the same time. Also, we propose to consider a small neighbourhood around the customized wavelet coefficient to be thresholded for image denoising. Experimental results show that our approach is better than VisuShrink, our NeighShrink with fixed wavelet, and the wiener2 filter that is available in Matlab Image Processing Toolbox. In addition, our NeighShrink with fixed wavelet already outperforms VisuShrink for all the experiments.