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Superpixel-based Color Transfer


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.
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hal-01519644 , version 2 (13-03-2019)


  • HAL Id : hal-01519644 , version 2


Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. Superpixel-based Color Transfer. IEEE International Conference on Image Processing (ICIP'17), Sep 2017, Beijing, China. pp.700-704. ⟨hal-01519644⟩


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