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.
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01519644
Contributor : Rémi Giraud <>
Submitted on : Wednesday, March 13, 2019 - 2:49:51 PM
Last modification on : Tuesday, April 2, 2019 - 8:06:01 AM

File

Giraud_SCT_ICIP17.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01519644, version 2

Collections

Citation

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. Superpixel-based Color Transfer. IEEE International Conference on Image Processing (ICIP), Sep 2017, Beijing, China. ⟨hal-01519644⟩

Share

Metrics

Record views

5

Files downloads

90