Published Articles >> Table of Contents >> Abstract

15th International Conference on Pattern Recognition (ICPR'00) - Volume 3   p. 3053
Multichannel Blind Deconvolution of the Short-Exposure Astronomical Images
Filip Sroubek, Academy of Sciences of the Czech Republic
Jan Flusser, Academy of Sciences of the Czech Republic
Tomaš Suk, Academy of Sciences of the Czech Republic
Stanislava Simberova, Academy of Sciences of the Czech Republic

Full Article Text:

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903484
Send link to a friend

Abstract
In this paper, we present a new multichannel blind deconvolution method based on so-called subspace technique that was originally proposed by Harikumar and Bresler. When at least two differently degraded images (channels) of the original scene are provided, the method is better conditioned than classical single channel ones. In comparison with earlier 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 proposed method to the restoration of the images of sunspots is presented.
Back to Top Additional Information
Citation:  Filip Sroubek, Jan Flusser, Tomaš Suk, Stanislava Simberova, "Multichannel Blind Deconvolution of the Short-Exposure Astronomical Images," icpr, p. 3053,  15th International Conference on Pattern Recognition (ICPR'00) - Volume 3,  2000