Počet záznamů: 1
Multichannel blind iterative image restoration
- 1.0411117 - UTIA-B 20030104 RIV US eng J - Článek v odborném periodiku
Šroubek, Filip - Flusser, Jan
Multichannel blind iterative image restoration.
IEEE Transactions on Image Processing. Roč. 12, č. 9 (2003), s. 1094-1106. ISSN 1057-7149. E-ISSN 1941-0042
Grant CEP: GA ČR GA102/00/1711
Výzkumný záměr: CEZ:AV0Z1075907
Klíčová slova: conjugate gradient * half-quadratic regularization * multichannel blind deconvolution
Kód oboru RIV: BD - Teorie informace
Impakt faktor: 2.642, rok: 2003
http://library.utia.cas.cz/prace/20030104.pdf
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.
Trvalý link: http://hdl.handle.net/11104/0131204
Počet záznamů: 1