We present a color matching method that deals with different non-linear encodings. In particular, given two different views of the same scene taken by two cameras with unknown settings and internal parameters, and encoded with unknown non-linear curves, our method is able to correct the colors of one of the images making it look as if it was captured under the other camera's settings. Our method is based on treating the in-camera color processing pipeline as a concatenation of a matrix multiplication on the linear image followed by a non-linearity. This allows us to model a color stabilization transformation among the two shots by estimating a single matrix -that will contain information from both of the original images- and an extra parameter that complies with the non-linearity. The method is fast and the results have no spurious colors. It outperforms the state-of-the-art both visually and according to several metrics, and can handle HDR encodings and very challenging real-life examples.

中文翻译：

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具有未知非线性编码的颜色匹配图像


我们提出了一种处理不同非线性编码的颜色匹配方法。特别是，给定两个具有未知设置和内部参数的相机拍摄同一场景的两个不同视图，并使用未知的非线性曲线进行编码，我们的方法能够校正其中一张图像的颜色，使其看起来好像是是在其他相机的设置下拍摄的。我们的方法基于将相机内颜色处理管道视为线性图像上的矩阵乘法和随后的非线性的串联。这使我们能够通过估计单个矩阵（该矩阵将包含来自两个原始图像的信息）和符合非线性的额外参数来对两个镜头之间的颜色稳定变换进行建模。该方法速度快，结果无杂色。它在视觉上和多项指标上都优于最先进的技术，并且可以处理 HDR 编码和非常具有挑战性的现实生活示例。