Reconstruction of Smooth 3D Color Functions from Keypoints: Application to Lossy Compression and Exemplar-Based Generation of Color LUTs

David Tschumperlé (1) , Christine Porquet (1) , Amal Mahboubi (1)

1 Equipe Image - Laboratoire GREYC - UMR6072

3D CLUTs (Color Look Up Tables) are popular digital models used in artistic image and video processing, for color grading, simulation of analog films, and more generally for the description and application of generic non-parametric 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 multi-scale anisotropic diffusion scheme is proposed, for the lossy compression of generic CLUTs regularly sampled on a 3D grid. Our method exhibits high average compression rate, 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.

Keywords: 3D Color LUTs; generic color transformations; compression of smooth data; anisotropic diffusion; exemplar-based CLUT generation.; exemplar-based CLUT generation

Domains: Image Processing [eess.IV]

David Tschumperlé, Christine Porquet, Amal Mahboubi. Reconstruction of Smooth 3D Color Functions from Keypoints: Application to Lossy Compression and Exemplar-Based Generation of Color LUTs. SIAM Journal on Imaging Sciences, 2020, 13 (3), pp.1511-1535. ⟨10.1137/19M1306798⟩. ⟨hal-02940557⟩