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Color Transfer Based on Saliency Detection

机译：基于显着性检测的颜色转移

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摘要

In this paper, we propose a novel color transfer method based on the saliency detection. By means of saliency maps obtained via saliency detection, the source and the target images are segmented into the foreground and the background regions, respectively. Then, we utilize the visual attention of images to match the regions between the two images. The foreground region belongs to the source image corresponds to the foreground part of the target one, therefore the source's background is naturally matched to the target's background. With the purpose of automatically transferring the color from regions of the source to the corresponding parts belong to the target in a perception aligned manner, we propose a saliency value based weighted color transfer model. It can efficiently prevent color mixing problems and successfully preserve the visual consistency of the results. Experimental results demonstrate that the proposed method performs favourably against most of the existing methods.
机译：在本文中，我们提出了一种基于显着性检测的新颜色转移方法。借助于通过显着性检测获得的显着性图，将源图像和目标图像分别分割为前景和背景区域。然后，我们利用图像的视觉注意力来匹配两个图像之间的区域。属于源图像的前景区域对应于目标图像的前景部分，因此源背景自然与目标背景匹配。为了以感知对齐方式将颜色从源区域自动转移到属于目标的相应部分，我们提出了一种基于显着性值的加权颜色转移模型。它可以有效地防止混色问题，并成功保留结果的视觉一致性。实验结果表明，该方法相对于大多数现有方法具有良好的性能。

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