WORLDCOMP'12 Typing Instructions for Preparation of Final Camera-ready Papers
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چکیده
A novel local binary pattern (LBP) based adaptive diffusion is presented for image denoising. The LBP operator unifies traditionally divergent statistical and structural models of region analysis. We use LBP textons to classify an image around a pixel into noisy, homogenous, corner and edge regions. According to different types of regions, a variable weight is introduced into the diffusion equation, so that the algorithm can adaptively encourage strong diffusion in homogenous/noisy regions and less on the edge/corner ones. Quantitative analyses based on peak signal to noise ratio shows the high performance of the method.
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WORLDCOMP'12 Typing Instructions for Preparation of Final Camera-ready Papers
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تاریخ انتشار 2012