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Conference Papers Year : 2016

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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Dates and versions

hal-01416847 , version 1 (16-12-2016)

Identifiers

  • HAL Id : hal-01416847 , version 1

Cite

Charles Kervrann. PEWA: Patch-Based Exponentially Weighted Aggregation for Image Denoising. SIAM Imaging Science, SIAM, May 2016, Albuquerque, United States. ⟨hal-01416847⟩

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