Superpixel-based color transfer

Rémi Giraud, Vinh-Thong Ta, N. Papadakis
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引用次数: 8

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.
基于超像素的色彩转移
在这项工作中,我们提出了一种快速的基于超像素的两幅图像之间的颜色转移方法(SCT)。超像素可以减小图像尺寸并提取一组减少的候选颜色。我们建议使用一种快速近似最近邻匹配算法,该算法通过限制相同超像素的选择来强制匹配多样性。设计了一个融合框架来传递匹配的颜色,并演示了在精确匹配结果的基础上获得的改进。最后,我们表明,与最先进的方法相比,SCT在视觉上具有竞争力。
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