PEWA: Patch-Based Exponentially Weighted Aggregation for Image Denoising

Abstract : We present a statistical aggregation method, which combines image patches denoised with conventional algorithms. We evaluate the SURE estimator of each denoised candidate image patch to compute the exponential weighted aggregation (EWA) estimator. The PEWA algorithm has an interpretation with Gibbs distribution, is based on a MCMC sampling and is able to produce results that are comparable to the current state-of-the-art.
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Communication dans un congrès
SIAM Imaging Science, May 2016, Albuquerque, United States. 2016, 〈https://www.siam.org/meetings/is16/〉
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https://hal.inria.fr/hal-01416847
Contributeur : Charles Kervrann <>
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Dernière modification le : mercredi 11 avril 2018 - 01:56:00
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Charles Kervrann. PEWA: Patch-Based Exponentially Weighted Aggregation for Image Denoising. SIAM Imaging Science, May 2016, Albuquerque, United States. 2016, 〈https://www.siam.org/meetings/is16/〉. 〈hal-01416847〉

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