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White Patch Gamut Mapping Colour Constancy

机译:白色补丁色域映射颜色恒定

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摘要

The White-Patch method, one of the first colour constancy methods, estimates the light source colour from the maximum response of the different colour channels. However, it has been eclipsed by the advent of more advanced physical or statistical methods, as well as complex learning based methods. Recently, a new independent line of work claims that the simple idea of using maximum pixel values is not as naive as it seems, but can also be made to perform very well via some manipulations. The bright areas of images can include highlights and specularity as well as white surfaces or light sources, and indeed all may be helpful in the illumination estimation process. In this paper, we define the White Patch Gamut as a new extension to the Gamut Mapping Colour Constancy method, comprising the bright pixels of the image. Adding new constraints based on the possible White Patch Gamut to the standard gamut mapping constraints, a new combined method outperforms gamut mapping methods as well as other wellknown colour constancy methods. The new constraints that are brought to bear are powerful, and indeed can be more discriminating than those in the original gamut mapping method itself.
机译:White-Patch方法是第一种颜色恒定性方法,它根据不同颜色通道的最大响应来估计光源颜色。但是,更高级的物理或统计方法以及基于复杂学习的方法的出现使它黯然失色。最近,一条新的独立工作线声称,使用最大像素值的简单想法并不像看起来那样幼稚,但也可以通过一些操作使其表现出色。图像的明亮区域可以包括高光和镜面反射以及白色表面或光源,并且实际上所有这些都可能对照明估计过程有所帮助。在本文中,我们将“白色色域”定义为“色域映射颜色恒定”方法的新扩展,其中包括图像的亮像素。在标准色域映射约束条件的基础上添加基于可能的白色色域的新约束条件,新的组合方法优于色域映射方法以及其他众所周知的颜色恒定性方法。带来的新约束是强大的,并且与原始色域映射方法本身相比,确实更具区分性。

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