A multiplicative iterative algorithm for box-constrained penalized likelihood image restoration
Image restoration is a computationally intensive problem as a large number of pixel values have to be determined. Since the pixel values of digital images can attain only a finite number of values (e.g., 8-bit images can have only 256 gray levels), one would like to recover an image within some dyna...
Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 21(2012), 7 vom: 01. Juli, Seite 3168-81 |
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Format: | Article en ligne |
Langue: | English |
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2012
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Sujets: | Journal Article Research Support, Non-U.S. Gov't |
Accès en ligne |
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