Superpixel-based Color Transfer
This work addresses color transfer in image processing, but it appears incremental as it builds on existing superpixel and matching techniques.
The authors tackled the problem of color transfer between images by proposing a fast superpixel-based method (SCT) that reduces image dimension and enforces match diversity, resulting in improved performance over exact matching and visual competitiveness with state-of-the-art methods.
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.