Name
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 |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICPR.2000.903484 | Pattern Recognition, 2000. Proceedings. 15th International Conference |
Keywords | Field | DocType |
astronomy computing,deconvolution,image resolution,image restoration,sunspots,degraded images,multichannel blind deconvolution,short-exposure astronomical images,subspace technique,sunspots | Computer vision,Blind deconvolution,Pattern recognition,Subspace topology,Computer science,Wiener deconvolution,Deconvolution,Artificial intelligence,Image restoration,Sextant (astronomical),Image resolution | Conference |
Volume | ISSN | ISBN |
3 | 1051-4651 | 0-7695-0750-6 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Filip Sroubek | 1 | 149 | 7.80 |
| Jan Flusser | 2 | 3067 | 215.61 |
| Tomas Suk | 3 | 915 | 83.86 |
| Stanislava Simberová | 4 | 43 | 6.77 |