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Multichannel blind iterative image restoration
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SYSNO ASEP 0411117 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Multichannel blind iterative image restoration Author(s) Šroubek, Filip (UTIA-B) RID, ORCID
Flusser, Jan (UTIA-B) RID, ORCIDSource Title IEEE Transactions on Image Processing. - : Institute of Electrical and Electronics Engineers - ISSN 1057-7149
Roč. 12, č. 9 (2003), s. 1094-1106Number of pages 13 s. Language eng - English Country US - United States Keywords conjugate gradient ; half-quadratic regularization ; multichannel blind deconvolution Subject RIV BD - Theory of Information R&D Projects GA102/00/1711 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z1075907 - UTIA-B Annotation Very recently, an eigenvector-based method (EVAM) was proposed for a multichannel framework. We propose a novel iterative algorithm based on recent anisotropic denoising techniques of total variation and a Mumford-Shah functional with the EVAM restoration condition included. The algorithm performs well even on very noisy images and does not require an exact estimation of mask orders. We demonstrate capabilities of the algorithm on synthetic data, defocused images and on astronomical data. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
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