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Image denoising / Mathematical optimization / Thresholding / Lagrangian / Matrix / Mathematics / Applied mathematics / Image processing / Statistics / Augmented Lagrangian method


IMAGE DEBLURRING BY AUGMENTED LANGRANGIAN WITH BM3D FRAME PRIOR Aram Danielyan, Vladimir Katkovnik and Karen Egiazarian Department of Signal Processing, Tampere University of Technology, P.O.Box 553, FINTampere, F
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Document Date: 2010-08-12 11:09:05


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City

Tampere / Saint-Malo / San Jose / /

Company

SIAM Journal / A. / Tha / /

Country

France / United States / Finland / /

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Facility

Tampere University of Technology / /

IndustryTerm

inverse imaging problems / filter operator / iterative shrinkage-thresholding algorithm / synthesis operator / deblurring algorithm / image processing / approximate solution / recursive deblurring algorithm / majorizationminimization algorithms / iterative solution / recursive denoising and deblurring algorithms / numerical solutions / /

NaturalFeature

Lena / /

Organization

Graduate School / Karen Egiazarian Department of Signal Processing / Tampere University of Technology / Academy of Finland / /

Person

Stanley Osher / Vladimir Katkovnik / Zuowei Shen / Karen Egiazarian / Alessandro Foi / Peyman Milanfar / Kostadin Dabov / Ron Rubinstein / Jian-Feng Cai / Michael Elad / Amir Beck / DEB-NEM ISNR / Marc Teboulle / Aram Danielyan / /

Position

namely Cameraman / Cameraman / /

Product

Bang & Olufsen Form 2 Headphone/Headset / /

ProgrammingLanguage

C++ / /

ProvinceOrState

California / /

Technology

1 Analysis AL Algorithm / majorizationminimization algorithms / 3-D / DEB-BM3D algorithm / proposed algorithm / iterative shrinkage-thresholding algorithm / final Algorithm / simulation / recursive deblurring algorithm / image processing / deblurring algorithm / /

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