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Multichannel blind iterative image restoration

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, ORCID}
Source Title	IEEE Transactions on Image Processing. - : Institute of Electrical and Electronics Engineers - ISSN 1057-7149 Roč. 12, č. 9 (2003), s. 1094-1106
Number 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.

Number of the records: 1