Iterative-interpolation super-resolution image reconstruction : a computationally efficient technique
This book presents a novel and hybrid, computationally efficient, reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images. The scheme proposed is referred as the It...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Autres auteurs: | |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2009. |
| Collection: | Studies in Computational Intelligence
195 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Iterative-Interpolation Super-Resolution Image Reconstruction, Texte imprimé, 9783642003844 • Iterative-Interpolation Super-Resolution Image Reconstruction, Texte imprimé, 9783642101458 • Iterative-Interpolation Super-Resolution Image Reconstruction, Texte imprimé, 9783642003868 • Iterative-Interpolation Super-Resolution Image Reconstruction, Texte imprimé, 9783642003844 |
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| 100 | 1 | |a Bannore, Vivek. | |
| 245 | 1 | 0 | |a Iterative-interpolation super-resolution image reconstruction : |b a computationally efficient technique |c by Vivek Bannore ; edited by Janusz Kacprzyk. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 195 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a to Super-Resolution Overview of Super-Resolution Techniques Iterative-Interpolation Super-Resolution (IISR) Optimization Approach to Super-Resolution Image Reconstruction Image Registration for Super-Resolution Software Framework Conclusion and Future Directions | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book presents a novel and hybrid, computationally efficient, reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images. The scheme proposed is referred as the Iterative-Interpolation Super-Resolution (IISR) technique. The optimization-based technique for super-resolution is reinvestigated for comparative analysis to evaluate the accuracy and efficiency of the IISR technique. The significant influence of the regularization term over the fidelity of reconstruction is also analysed. The IISR technique addresses the problem of super-resolution image enhancement in terms of maintaining highest fidelity of reconstruction and a low computational cost to achieve maximum applicability of super-resolution to the real-world applications | ||
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| 776 | 0 | |t Iterative-Interpolation Super-Resolution Image Reconstruction |b Texte imprimé |z 9783642003868 | |
| 776 | 0 | |t Iterative-Interpolation Super-Resolution Image Reconstruction |b Texte imprimé |z 9783642003844 | |
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