Skip to Main content Skip to Navigation
Journal articles

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
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 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.
Document type :
Journal articles
Complete list of metadata

https://hal-normandie-univ.archives-ouvertes.fr/hal-02940557
Contributor : Yvain Queau <>
Submitted on : Thursday, November 19, 2020 - 11:47:46 AM
Last modification on : Tuesday, December 1, 2020 - 4:48:11 PM
Long-term archiving on: : Saturday, February 20, 2021 - 7:02:03 PM

File

CLUTs3D_hal.pdf
Files produced by the author(s)

Licence


Copyright

Identifiers

Citation

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, Society for Industrial and Applied Mathematics, 2020, 13 (3), pp.1511-1535. ⟨10.1137/19M1306798⟩. ⟨hal-02940557⟩

Share

Metrics

Record views

115

Files downloads

108