SURE Guided Gaussian Mixture Image Denoising
نویسندگان
چکیده
منابع مشابه
SURE Guided Gaussian Mixture Image Denoising
The Gaussian mixture is a patch prior that has enjoyed tremendous success in image processing. In this work, by using Gaussian factor modeling, its dedicated expectation maximization (EM) inference, and a statistical filter selection and algorithm stopping rule, we develop SURE (Stein’s unbiased risk estimator) guided piecewise linear estimation (S-PLE), a patch-based prior learning algorithm c...
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SURE (Stein’s Unbiased Risk Estimator) guided Piecewise Linear Estimation (S-PLE) is a recently introduced patch-based state-of-the-art denoising algorithm. In this article, we focus on its implementation and show its performance by comparing it with several other acclaimed algorithms. Source Code ANSI C source code for both S-PLE and PLE is accessible on the article web page. A live demo for S...
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ژورنال
عنوان ژورنال: SIAM Journal on Imaging Sciences
سال: 2013
ISSN: 1936-4954
DOI: 10.1137/120901131