Content‐Based Colour Transfer
Content‐Based Colour Transfer
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DOI：
10.1111/cgf.12008
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发表时间：
2013-01
影响因子：
2.5
通讯作者：
Fuzhang Wu;Weiming Dong;Yan Kong;Xing Mei;J. Paul;Xiaopeng Zhang
中科院分区：
文献类型：
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作者：
Fuzhang Wu;Weiming Dong;Yan Kong;Xing Mei;J. Paul;Xiaopeng Zhang
本文提出了一种新的基于内容的方法，用于在图像之间传输颜色图案。与以前依赖图像颜色统计的方法不同，我们的方法强调高级场景内容分析。首先从场景中自动提取前景主题区域和背景场景布局。建立了源图像和目标图像之间区域的语义对应关系。在第二步中，在一个新的优化框架中对源图像进行重新着色，该框架结合了提取的内容信息和目标颜色样式的空间分布。提出了一种新的渐进式转移方案，以综合全局转移算法和局部转移算法的优点，并避免结果中的过分割伪影。实验结果表明，该方法在更好地理解场景内容的同时，很好地保持了场景的空间布局、颜色分布和视觉连贯性。作为一个有趣的扩展，我们的方法也可以用于重新着色具有空间变化的颜色效果的视频剪辑。
This paper presents a novel content‐based method for transferring the colour patterns between images. Unlike previous methods that rely on image colour statistics, our method puts an emphasis on high‐level scene content analysis. We first automatically extract the foreground subject areas and background scene layout from the scene. The semantic correspondences of the regions between source and target images are established. In the second step, the source image is re‐coloured in a novel optimization framework, which incorporates the extracted content information and the spatial distributions of the target colour styles. A new progressive transfer scheme is proposed to integrate the advantages of both global and local transfer algorithms, as well as avoid the over‐segmentation artefact in the result. Experiments show that with a better understanding of the scene contents, our method well preserves the spatial layout, the colour distribution and the visual coherence in the transfer process. As an interesting extension, our method can also be used to re‐colour video clips with spatially‐varied colour effects.