Virtual Super Resolution of Scale Invariant ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Virtual Super Resolution of Scale Invariant Textured Images Using Multifractal Stochastic Processes
Auteur(s) :
Chainais, Pierre [Auteur]
Centrale Lille
Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes [LIMOS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Koenig, Emilie [Auteur]
Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes [LIMOS]
Delouille, Véronique [Auteur]
Royal Observatory of Belgium = Observatoire Royal de Belgique [ROB]
Hochedez, Jean-François [Auteur]
Royal Observatory of Belgium = Observatoire Royal de Belgique [ROB]
HELIOS - LATMOS
Centrale Lille
Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes [LIMOS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Koenig, Emilie [Auteur]
Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes [LIMOS]
Delouille, Véronique [Auteur]
Royal Observatory of Belgium = Observatoire Royal de Belgique [ROB]
Hochedez, Jean-François [Auteur]
Royal Observatory of Belgium = Observatoire Royal de Belgique [ROB]
HELIOS - LATMOS
Titre de la revue :
Journal of Mathematical Imaging and Vision
Pagination :
28-44
Éditeur :
Springer Verlag
Date de publication :
2011
ISSN :
0924-9907
Mot(s)-clé(s) en anglais :
Natural images
Scale invariance
Multifractal analysis
Extrapolation
Enhancement
Infinitely divisible cascades
Scale invariance
Multifractal analysis
Extrapolation
Enhancement
Infinitely divisible cascades
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Planète et Univers [physics]/Astrophysique [astro-ph]/Astrophysique stellaire et solaire [astro-ph.SR]
Physique [physics]/Astrophysique [astro-ph]/Astrophysique stellaire et solaire [astro-ph.SR]
Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Planète et Univers [physics]/Astrophysique [astro-ph]/Astrophysique stellaire et solaire [astro-ph.SR]
Physique [physics]/Astrophysique [astro-ph]/Astrophysique stellaire et solaire [astro-ph.SR]
Résumé en anglais : [en]
We present a new method of magnification for textured images featuring scale invariance properties. This work is originally motivated by an application to astronomical images. One goal is to propose a method to quantitatively ...
Lire la suite >We present a new method of magnification for textured images featuring scale invariance properties. This work is originally motivated by an application to astronomical images. One goal is to propose a method to quantitatively predict statistical and visual properties of images taken by a forthcoming higher resolution telescope from older images at lower resolution. This is done by performing a virtual super resolution using a family of scale invariant stochastic processes, namely compound Poisson cascades, and fractional integration. The procedure preserves the visual aspect as well as the statistical properties of the initial image. An augmentation of information is performed by locally adding random small scale details below the initial pixel size. This extrapolation procedure yields a potentially infinite number of magnified versions of an image. It allows for large magnification factors (virtually infinite) and is physically conservative: zooming out to the initial resolution yields the initial image back. The (virtually) super resolved images can be used to predict the quality of future observations as well as to develop and test compression or denoising techniques.Lire moins >
Lire la suite >We present a new method of magnification for textured images featuring scale invariance properties. This work is originally motivated by an application to astronomical images. One goal is to propose a method to quantitatively predict statistical and visual properties of images taken by a forthcoming higher resolution telescope from older images at lower resolution. This is done by performing a virtual super resolution using a family of scale invariant stochastic processes, namely compound Poisson cascades, and fractional integration. The procedure preserves the visual aspect as well as the statistical properties of the initial image. An augmentation of information is performed by locally adding random small scale details below the initial pixel size. This extrapolation procedure yields a potentially infinite number of magnified versions of an image. It allows for large magnification factors (virtually infinite) and is physically conservative: zooming out to the initial resolution yields the initial image back. The (virtually) super resolved images can be used to predict the quality of future observations as well as to develop and test compression or denoising techniques.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
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