OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Contrast Invariant SNR and Isotonic Regressions

Weiss, Pierre and Escande, Paul and Bathie, Gabriel and Dong, Yiqiu Contrast Invariant SNR and Isotonic Regressions. (2019) International Journal of Computer Vision. 1-18. ISSN 0920-5691

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
3MB

Official URL: https://doi.org/10.1007/s11263-019-01161-9

Abstract

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

Item Type:Article
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Technical University of Denmark (DENMARK)
Laboratory name:
Funders:
PRES of Toulouse University and Midi-Pyrenees region
Statistics:download
Deposited By: Paul Escande
Deposited On:26 Apr 2017 12:19

Repository Staff Only: item control page