GIRAUD, Rémi; TA, Vinh-Thong; PAPADAKIS, Nicolas

Métadonnées

Licence d’utilisation du document

GIRAUD, Rémi
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Institut de Mathématiques de Bordeaux [IMB]

TA, Vinh-Thong
Institut Polytechnique de Bordeaux [Bordeaux INP]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

PAPADAKIS, Nicolas
Institut de Mathématiques de Bordeaux [IMB]

Langue

Communication dans un congrès

Ce document a été publié dans

IEEE International Conference on Image Processing (ICIP'17), 2017-09-17, Beijing. p. 700-704

Résumé en anglais

In this work, we propose a fast superpixel-based color transfer method (SCT) between two images. Superpixels enable to decrease the image dimension and to extract a reduced set of color candidates. We propose to use a fast approximate nearest neighbor matching algorithm in which we enforce the match diversity by limiting the selection of the same superpixels. A fusion framework is designed to transfer the matched colors, and we demonstrate the improvement obtained over exact matching results. Finally, we show that SCT is visually competitive compared to state-of-the-art methods.< Réduire

URI

https://oskar-bordeaux.fr/handle/20.500.12278/192923

Project ANR

Generalized Optimal Transport Models for Image processing - ANR-16-CE33-0010

Origine

Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251