Vision models for wide color gamut imaging in cinema
Zamir, Syed Waqas (Inception Institute of Artificial Intelligence (UAE))
Vázquez i Corral, Javier (Universitat Pompeu Fabra)
Bertalmío, Marcelo (Universitat Pompeu Fabra)

Date:	2021
Abstract:	Gamut mapping is the problem of transforming the colors of image or video content so as to fully exploit the color palette of the display device where the content will be shown, while preserving the artistic intent of the original content's creator. In particular, in the cinema industry, the rapid advancement in display technologies has created a pressing need to develop automatic and fast gamut mapping algorithms. In this article, we propose a novel framework that is based on vision science models, performs both gamut reduction and gamut extension, is of low computational complexity, produces results that are free from artifacts and outperforms state-of-the-art methods according to psychophysical tests. Our experiments also highlight the limitations of existing objective metrics for the gamut mapping problem.
Grants:	European Commission 761544 European Commission 780470 Agencia Estatal de Investigación PGC2018-099651-B-I00 Ministerio de Economía y Competitividad IJCI-2014-19516
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Color reproduction ; Gamut mapping algorithms ; Gamut mapping for cinema ; Vision models for color and contrast ; Wide gamut imaging
Published in:	IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 43, Issue 5 (May 2021) , p. 1777-1790, ISSN 1939-3539

DOI: 10.1109/TPAMI.2019.2938499
PMID: 31725369

14 p, 5.6 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles