Publication details

Multichannel blind deconvolution of the short-exposure astronomical images

Conference Paper (international conference)

Šroubek Filip, Šimberová Stanislava, Flusser Jan, Suk Tomáš


serial: Proceedings of the 15th IAPR International Conference on Pattern Recognition, p. 53-56 , Eds: Sanfeliu A., Villanueva J. J., Vanrell M.

publisher: IEEE Computer Society, (Los Alamitos 2000)

action: IAPR International Conference on Pattern Recognition /15./, (Barcelona, ES, 03.09.2000-07.09.2000)

research: AV0Z1075907

project(s): GA102/98/P069, GA ČR, GA102/00/1711, GA ČR

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abstract (eng):

A new multichannel blind deconvolution method based on the subspace technique is presented. When at least two differently degraded images of the original scene are provided, the method is better conditioned than classical single channel ones. In comparison with other multichannel blind deconvolution techniques the subspace method is not iterative and this possibly implies an implementation that can be computationally more efficient. An application of the method to the restoration of sunspot images is given.

Cosati: 09K

RIV: JD