SIAM Journal on Imaging Sciences, Volume 13, Issue 3, Page 1511-1535, January 2020.
Three-dimensional (3D) CLUTs (color lookup tables) are popular digital models used in artistic image and video processing for color grading, simulation of analog films, and more generally the description and application of generic nonparametric color transformations. The relatively large size of these models leads to high data storage requirements when trying to distribute them on a large scale (e.g., several hundred at a time). In this article, an effective technique based on a multiscale anisotropic diffusion scheme is proposed, for the lossy compression of generic CLUTs regularly sampled on a 3D grid. Our method exhibits high average compression rates, while ensuring visually indistinguishable differences with the original (uncompressed) CLUTs. In a second step, a variation of our algorithm for exemplar-based generation of CLUTs is developed in order to create a complete CLUT from a single pair of before/after images that accounts for the color transformation.

中文翻译：

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从关键点重建平滑3D颜色功能：在有损压缩和基于样例的颜色LUT生成中的应用

SIAM影像科学杂志，第13卷，第3期，第1511-1535页，2020年1月。
三维（3D）CLUT（颜色查找表）是流行的数字模型，用于艺术图像和视频处理中，以进行颜色分级，模拟胶片的模拟，更广泛地描述和应用通用的非参数颜色转换。这些模型的相对较大的尺寸导致在尝试大规模分布（例如一次数百个）时需要很高的数据存储需求。在本文中，提出了一种基于多尺度各向异性扩散方案的有效技术，用于对在3D网格上定期采样的通用CLUT进行有损压缩。我们的方法表现出很高的平均压缩率，同时确保了与原始（未压缩）CLUT的视觉区别。第二步