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Regularization of transportation maps for color and contrast transfer

机译:正则化运输图以进行颜色和对比度转移

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In this paper, we take interest in the process of assigning a given color distribution to an image. Two examples of such image modifications are histogram equalization (or specification) and color transfer, in which the color palette of a style image is assigned to a source image. Classical methods for gray level specification, as well as more recent methods for color transfer, can be defined as optimal transportation problems. The corresponding image modifications are known to produce visually unpleasing effects such as the removal of details and texture, as well as the enhancement of noise or compression patterns. In this paper, a new method is proposed for the suppression of these artifacts. The method relies on a non local regularization of the transportation map, defined as the difference between the original image and the modified one. The interest of using this method is demonstrated on the aforementioned applications: contrast adjustment and color transfer.
机译:在本文中,我们对为图像分配给定颜色分布的过程感兴趣。这种图像修改的两个示例是直方图均衡化(或指定)和颜色转移,其中将样式图像的调色板分配给源图像。可以将经典的灰度级指定方法以及最新的颜色转移方法定义为最佳运输问题。已知相应的图像修改会产生视觉上令人不快的效果,例如去除细节和纹理,以及增强噪点或压缩模式。本文提出了一种抑制这些伪像的新方法。该方法依赖于交通图的非局部正则化,定义为原始图像和修改后的图像之间的差异。在前面提到的应用中证明了使用此方法的兴趣:对比度调整和颜色转移。

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