Superpixel-based Color Transfer

Abstract : 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.
Type de document :
Pré-publication, Document de travail
IEEE International Conference on Image Processing (ICIP) 2017. 2017
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https://hal.archives-ouvertes.fr/hal-01519644
Contributeur : Rémi Giraud <>
Soumis le : mardi 23 mai 2017 - 11:03:46
Dernière modification le : mardi 20 juin 2017 - 01:33:51

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  • HAL Id : hal-01519644, version 1

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Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. Superpixel-based Color Transfer. IEEE International Conference on Image Processing (ICIP) 2017. 2017. <hal-01519644>

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