A generalized white-patch model for fast color cast detection in natural images

Abstract : We present a generalized white-patch technique able to rapidly detect color cast of natural images. Instead of relying on the chromatic information of a single perfectly reflective patch in the image, as pure white-patch models do, we consider a connected region of pixels that will serve as white reference for the method. The pixels belonging to the white reference region must comply with three properties: 1) they do not have to be completely saturated; 2) they must belong to the p% of pixels with brightest intensity in the whole image (where p is a parameter of the model); 3) the area of the connected region formed by these pix-els must overcome a threshold of significance A (a second parameter). Color cast is detected if the average intensity in the three separated chromatic channels RGB is distant enough from a neutral grey level, where the distance is measured through an angular metric.
Type de document :
Communication dans un congrès
IS&T International Symposium on Electronic Imaging - Retinex at 50: Image Processing, Feb 2016, San Francisco, CA, United States. 〈http://www.imaging.org/ist/conferences/ei2016/〉
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01386173
Contributeur : Edoardo Provenzi <>
Soumis le : dimanche 23 octobre 2016 - 04:34:16
Dernière modification le : mardi 10 octobre 2017 - 11:22:05

Fichier

GeneralizedWhite-PatchModel.pd...
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01386173, version 1

Collections

Citation

Jose Lisani, Ana Belen Petro, Edoardo Provenzi, Catalina Sbert. A generalized white-patch model for fast color cast detection in natural images. IS&T International Symposium on Electronic Imaging - Retinex at 50: Image Processing, Feb 2016, San Francisco, CA, United States. 〈http://www.imaging.org/ist/conferences/ei2016/〉. 〈hal-01386173〉

Partager

Métriques

Consultations de la notice

42

Téléchargements de fichiers

50