A recursive algorithm for maximum likelihood-based identification of blur from multiple observations
A maximum likelihood-based method is proposed for blur identification from multiple observations of a scene. When the relations among the blurring functions are known, the estimate of blur obtained using the proposed method is very good. Since direct computation of the likelihood function becomes di...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 7(1998), 7 vom: 30., Seite 1075-9 |
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| Format: | Article en ligne |
| Langue: | English |
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1998
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Sujets: | Letter |
| Accès en ligne |
Volltext |