Vision models for wide color gamut imaging in cinema

Zamir, Syed Waqas, Vazquez-Corral, Javier and Bertalmio, Marcelo (2021) Vision models for wide color gamut imaging in cinema. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (5). pp. 1777-1790. ISSN 0162-8828

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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.

Item Type: Article
Uncontrolled Keywords: color reproduction,gamut mapping algorithms,gamut mapping for cinema,vision models for color and contrast,wide gamut imaging,software,computer vision and pattern recognition,computational theory and mathematics,artificial intelligence,applied mathematics ,/dk/atira/pure/subjectarea/asjc/1700/1712
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 28 Jul 2021 00:44
Last Modified: 08 Sep 2021 01:59
URI: https://ueaeprints.uea.ac.uk/id/eprint/80856
DOI: 10.1109/TPAMI.2019.2938499

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