Počet záznamů: 1  

Multichannel blind iterative image restoration

  1. 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
    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