Title :
Multichannel blind deconvolution of the short-exposure astronomical images
Author :
F. Sroubek;J. Flusser;T. Suk;S. Simberova
Author_Institution :
Inst. of Inf. Theory & Autom., Acad. of Sci. of the Czech Republic, Praha, Czech Republic
Abstract :
We present a multichannel blind deconvolution method based on so-called subspace technique that was originally proposed by Harikumar and Bresler (1996, 1999). 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.
Keywords :
"Deconvolution","Image restoration","Degradation","Layout","Iterative algorithms","Filters","Telescopes","Image resolution","Atmospheric waves","Atmospheric modeling"
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903484