An Efficient 3D Color LUT Compression Algorithm Based on a Multi-Scale Anisotropic Diffusion Scheme

David Tschumperlé 1 Christine Porquet 1 Amal Mahboubi 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : 3D CLUTs (Color Look Up Tables) are popular digital models used in image and video processing for color grading, simulation of analog films, and more generally for the application of various colorimetric transformations. The large size of these models leads to data storage issues when trying to distribute them on a large scale. In this paper, a highly effective lossy compression technique for 3D CLUTs is proposed. It is based on a multi-scale anisotropic diffusion reconstruction scheme. Our method exhibits an average compression rate of more than 99%, while ensuring visually indistinguishable differences with the application of the original CLUTs .
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https://hal.archives-ouvertes.fr/hal-02066484
Contributor : David Tschumperlé <>
Submitted on : Wednesday, April 3, 2019 - 3:22:14 PM
Last modification on : Wednesday, April 24, 2019 - 1:46:18 AM

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  • HAL Id : hal-02066484, version 3

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David Tschumperlé, Christine Porquet, Amal Mahboubi. An Efficient 3D Color LUT Compression Algorithm Based on a Multi-Scale Anisotropic Diffusion Scheme. 2019. ⟨hal-02066484v3⟩

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