Diffusion Interpretation of Nonlocal Neighborhood Filters for Signal Denoising
نویسندگان
چکیده
منابع مشابه
Diffusion Interpretation of Nonlocal Neighborhood Filters for Signal Denoising
Nonlocal neighborhood filters are modern and powerful techniques for image and signal denoising. In this paper, we give a probabilistic interpretation and analysis of the method viewed as a random walk on the patch space. We show that the method is intimately connected to the characteristics of diffusion processes, their escape times over potential barriers, and their spectral decomposition. In...
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Ziyi Zheng and Klaus Mueller are with the Center for Visual Computing, Computer Science, Stony Brook University, Stony Brook, NY 11790 USA (phone: 631-632-1524; e-mail: {zizhen, mueller}@cs.sunysb.edu). Funding was provided by NSF grant EAGER 1050477. Abstract—Neighborhood denoising filters are powerful techniques in image processing and can effectively enhance the image quality in CT reconstru...
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ژورنال
عنوان ژورنال: SIAM Journal on Imaging Sciences
سال: 2009
ISSN: 1936-4954
DOI: 10.1137/070712146