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Noise / Electronics / Image denoising / Spatial data analysis / Computer vision / Noise reduction / Peak signal-to-noise ratio / K-means clustering / Computer cluster / Image processing / Statistics / Computing


MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Additive Noise Removal by Sparse Reconstruction on Imagae Affinity Nets
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Document Date: 2013-09-16 15:21:22

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Washington / DC / Cambridge / probabilistic patch / Sparsity / /

Company

Mitsubishi Electric Research Laboratories Inc. / Mitsubishi Electric Research Labs. / /

Event

Product Issues / /

IndustryTerm

dot product / search window / search range / non local algorithm / /

Organization

University of Arizona / /

Person

Fatih Porikli / J. Portilla / V / A. Foi / V / /

Position

representative / /

Product

Pentax K-x Digital Camera / Wiener / additive noise / /

ProgrammingLanguage

DC / C / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

Machine Learning / SRAN algorithm / non local algorithm / /

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http /

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