| Title:
|
Multichannel deblurring of digital images (English) |
| Author:
|
Šorel, Michal |
| Author:
|
Šroubek, Filip |
| Author:
|
Flusser, Jan |
| Language:
|
English |
| Journal:
|
Kybernetika |
| ISSN:
|
0023-5954 |
| Volume:
|
47 |
| Issue:
|
3 |
| Year:
|
2011 |
| Pages:
|
439-454 |
| Summary lang:
|
English |
| . |
| Category:
|
math |
| . |
| Summary:
|
Blur is a common problem that limits the effective resolution of many imaging systems. In this article, we give a general overview of methods that can be used to reduce the blur. This includes the classical multi-channel deconvolution problems as well as challenging extensions to spatially varying blur. The proposed methods are formulated as energy minimization problems with specific regularization terms on images and blurs. Experiments on real data illustrate very good and stable performance of the methods. (English) |
| Keyword:
|
image restoration |
| Keyword:
|
blind deconvolution |
| Keyword:
|
deblurring |
| Keyword:
|
spatially varying blur |
| MSC:
|
15A29 |
| MSC:
|
92C55 |
| idZBL:
|
Zbl 1217.94020 |
| idMR:
|
MR2857197 |
| . |
| Date available:
|
2011-06-23T13:00:07Z |
| Last updated:
|
2013-09-22 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/141595 |
| . |
| Reference:
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