Accelerated Graph-based Nonlinear Denoising Filters
نویسندگان
چکیده
منابع مشابه
Accelerated Graph-based Nonlinear Denoising Filters
Denoising filters, such as bilateral, guided, and total variation filters, applied to images on general graphs may require repeated application if noise is not small enough. We formulate two acceleration techniques of the resulted iterations: conjugate gradient method and Nesterov’s acceleration. We numerically show efficiency of the accelerated nonlinear filters for image denoising and demonst...
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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: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.05.348