Title :

Virtual Super Resolution of Scale Invariant Textured Images Using Multifractal Stochastic Processes

Author(s) :

Chainais, Pierre [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes [LIMOS]
Centrale Lille
Koenig, Emilie [Auteur]
Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes [LIMOS]
Delouille, Véronique [Auteur]
Royal Observatory of Belgium [Brussels] [ROB]
Hochedez, Jean-François [Auteur]
HELIOS - LATMOS
Royal Observatory of Belgium [Brussels] [ROB]

Journal title :

Journal of Mathematical Imaging and Vision

Pages :

28-44

Publisher :

Springer Verlag

Publication date :

2011

ISSN :

0924-9907

English keyword(s) :

Natural images
Scale invariance
Multifractal analysis
Extrapolation
Enhancement
Infinitely divisible cascades

HAL domain(s) :

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]

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL