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Decomposition of Space-Variant Blur in Image Deconvolution
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SYSNO ASEP 0456182 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Decomposition of Space-Variant Blur in Image Deconvolution Author(s) Šroubek, Filip (UTIA-B) RID, ORCID
Kamenický, Jan (UTIA-B) RID, ORCID
Lu, Y. M. (US)Source Title IEEE Signal Processing Letters. - : Institute of Electrical and Electronics Engineers - ISSN 1070-9908
Roč. 23, č. 3 (2016), s. 346-350Number of pages 5 s. Publication form Print - P Language eng - English Country US - United States Keywords space-variant convolution ; singular value decomposition ; alternating direction method of multipliers Subject RIV JD - Computer Applications, Robotics R&D Projects GA13-29225S GA ČR - Czech Science Foundation (CSF) 7H14004 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UTIA-B - RVO:67985556 UT WOS 000370953100002 EID SCOPUS 84962213206 DOI 10.1109/LSP.2016.2519764 Annotation We explain in detail properties of the space-variant degradation operator and show two possible decomposition models and two approximation approaches. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2017
Number of the records: 1