| Titre : |
Iterative identification and restoration of images |
| Type de document : |
texte imprimé |
| Auteurs : |
Reginald L. Lagendijk, Auteur ; Jan Biemond, Auteur |
| Editeur : |
Boston : Kluwer academic publishers |
| Année de publication : |
1991 |
| Collection : |
The kluwer international series in engineering and computer science |
| Sous-collection : |
VLSI, computer architecture and digital signal processing num. 118 |
| Importance : |
XIII-208 p. |
| Présentation : |
ill. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-0-7923-9097-8 |
| Note générale : |
Bibliogr. p. [191]-201. Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Image processing
Traitement d'images
Image processing |
| Index. décimale : |
621.391.837 Qualité de l'image due aux transducteurs de transmission et de réception. Résolution de l'image. Fantômes. Distorsion géométrique. Brillance. Contraste. Effets dynamiques. Modèle d'interférence... |
| Résumé : |
One of the most intriguing questions in image processing is the problem of how to recover the desired or perfect image from a degraded version.
In many instances, the degradations in the image are such that relevant information is close to being recognizable, if only the image could be sharpened just a little. Iterative identification and restoration of images discusses the two essentiel steps by which this can be achieved: image identification and restoration. The goal of image identification is to estimate the properties of the imperfect imaging system (blur) from the observed degraded image, together with some (statistical) character-istics of the noise and the original (uncorrupted) image. On the basis of these properties, the image restoration process computer an estimate of the original image. |
| Note de contenu : |
Contents:
* The Image Identification and Restoration Problem.
* Image Formation Models.
* Regularized Image Restoration.
* Iterative Image Restoration.
* Image Restoration with Ringing Reduction.
* Maximum Likelihood Image Identification.
... |
Iterative identification and restoration of images [texte imprimé] / Reginald L. Lagendijk, Auteur ; Jan Biemond, Auteur . - Boston : Kluwer academic publishers, 1991 . - XIII-208 p. : ill. ; 24 cm. - ( The kluwer international series in engineering and computer science. VLSI, computer architecture and digital signal processing; 118) . ISBN : 978-0-7923-9097-8 Bibliogr. p. [191]-201. Index Langues : Anglais ( eng)
| Mots-clés : |
Image processing
Traitement d'images
Image processing |
| Index. décimale : |
621.391.837 Qualité de l'image due aux transducteurs de transmission et de réception. Résolution de l'image. Fantômes. Distorsion géométrique. Brillance. Contraste. Effets dynamiques. Modèle d'interférence... |
| Résumé : |
One of the most intriguing questions in image processing is the problem of how to recover the desired or perfect image from a degraded version.
In many instances, the degradations in the image are such that relevant information is close to being recognizable, if only the image could be sharpened just a little. Iterative identification and restoration of images discusses the two essentiel steps by which this can be achieved: image identification and restoration. The goal of image identification is to estimate the properties of the imperfect imaging system (blur) from the observed degraded image, together with some (statistical) character-istics of the noise and the original (uncorrupted) image. On the basis of these properties, the image restoration process computer an estimate of the original image. |
| Note de contenu : |
Contents:
* The Image Identification and Restoration Problem.
* Image Formation Models.
* Regularized Image Restoration.
* Iterative Image Restoration.
* Image Restoration with Ringing Reduction.
* Maximum Likelihood Image Identification.
... |
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