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Linear algebra / Signal processing / Matrix theory / Computer vision / Structural similarity / Eigenvalues and eigenvectors / Super-resolution / Eigendecomposition of a matrix / Structure tensor / Algebra / Mathematics / Image processing


SINGLE IMAGE SUPER-RESOLUTION USING SPARSE REPRESENTATIONS WITH STRUCTURE CONSTRAINTS J. C. Ferreira∗†? O. Le Meur†
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Document Date: 2014-06-06 06:11:47


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City

UFRJ / INRIA / Stuttgart / /

Country

Brazil / /

Facility

Federal University of Uberlˆandia / Federal University of Rio de Janeiro / /

IndustryTerm

scientific applications / stateof-the-art algorithms / image processing / iterative shrinkage algorithm / energy term / iterative thresholding algorithm / energy term dealing / energy / non-blind algorithm / /

NaturalFeature

CAPES Brazilian / /

Organization

Federal University of Uberlˆandia / Federal University of Rio de Janeiro / /

Person

Thomas Huang / Antonio Marquina / Shengyang Dai / Mei Han / Ingrid Daubechies / Rahul Gowda / Xiaolin Wu / Guangming Shi / Silvano Di Zenzo / Hong Chang / Wei Xu / Ying Wu / Yihong Gong / C. De Mol / Pradeep Nagesh / Michal Irani / John Wright / M. Defrise / Yi Ma / Il / Shmuel Peleg / Vincent Dor / Stanley J. Osher / Naveen Kulkarni / Mohamed Cheriet / Baoxin Li / Weisheng Dong / Reza Farrahi Moghaddam / Aggelos K Katsaggelos / Joachim Weickert / Lei Zhang / Jianchao Yang / /

Position

model / first author / /

ProgrammingLanguage

J / K / /

PublishedMedium

Communications on Pure and Applied Mathematics / ACM Transactions on Graphics / /

Technology

alpha / same IST algorithm / non-blind algorithm / SR algorithm / proposed algorithm / stateof-the-art algorithms / IST algorithm / iterative thresholding algorithm / SR algorithms / iterative shrinkage algorithm / Image Processing / super-resolution algorithm / /

URL

http /

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