• français
    • English
  • English 
    • français
    • English
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.
BIRD Home

Browse

This CollectionBy Issue DateAuthorsTitlesSubjectsJournals BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesSubjectsJournals

My Account

Login

Statistics

View Usage Statistics

Wasserstein Regularization of Imaging Problem

Thumbnail
Date
2011
Link to item file
http://hal.archives-ouvertes.fr/hal-00591279/fr/
Dewey
Traitement du signal
Sujet
color and contrast modification; Gradient descent; Image regularization; Energy minimization; Variational model
DOI
http://dx.doi.org/10.1109/ICIP.2011.6115740
Conference name
ICIP 2011 : 2011 IEEE International Conference on Image Processing
Conference date
09-2011
Conference city
Bruxelles
Conference country
Belgique
Book title
18th IEEE International Conference on Image Processing (ICIP), 2011 - Proceedings
Publisher
IEEE
Year
2011
ISBN
978-1-4577-1304-0
URI
https://basepub.dauphine.fr/handle/123456789/6354
Collections
  • CEREMADE : Publications
Metadata
Show full item record
Author
Peyré, Gabriel
Rabin, Julien
Type
Communication / Conférence
Item number of pages
1541-1544
Abstract (EN)
This paper introduces a novel and generic framework embedding statistical constraints for variational problems. We resort to the theory of Monge-Kantorovich optimal mass transport to define penalty terms depending on statistics from images. To cope with the computation time issue of the corresponding Wasserstein distances involved in this approach, we propose an approximate variational formulation for statistics represented as point clouds. We illustrate this framework on the problem of regularized color specification. This is achieved by combining the proposed approximate Wasserstein constraint on color statistics with a generic geometric-based regularization term in a unified variational minimization problem. We believe that this methodology may lead to some other interesting applications in image processing, such as medical imaging modification, texture synthesis, etc.

  • Accueil Bibliothèque
  • Site de l'Université Paris-Dauphine
  • Contact
SCD Paris Dauphine - Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16

 Content on this site is licensed under a Creative Commons 2.0 France (CC BY-NC-ND 2.0) license.