Contrast Invariant SNR - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2016

Contrast Invariant SNR

Résumé

We design an image quality measure independent of local contrast changes, which constitute simple models of illumination changes. Given two images, the algorithm provides the image closest to the first one with the component tree of the second. This problem can be cast as a specific convex program called isotonic regression. We provide a few analytic properties of the solutions to this problem. We also design a tailored first order optimization procedure together with a full complexity analysis. The proposed method turns out to be practically more efficient and reliable than the best existing algorithms based on interior point methods. The algorithm has potential applications in change detection, color image processing or image fusion. A Matlab implementation is available at http://www.math.univ-toulouse.fr/ ∼ weiss/PageCodes.html.
Fichier principal
Vignette du fichier
Contrast_Invariant_SNR_Dong_Escande_Weiss_2016.pdf (4.03 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01370251 , version 1 (22-09-2016)
hal-01370251 , version 2 (13-11-2019)

Identifiants

  • HAL Id : hal-01370251 , version 1

Citer

Pierre Weiss, Paul Escande, Yiqiu Dong. Contrast Invariant SNR. 2016. ⟨hal-01370251v1⟩
235 Consultations
150 Téléchargements

Partager

Gmail Facebook X LinkedIn More