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Vision Models for Wide Color Gamut Imaging in Cinema

Vision Models for Wide Color Gamut Imaging in Cinema

Article "Vision Models for Wide Color Gamut Imaging in Cinema" by researchers Syed Waqas Zamir from the Inception Institute of Artificial Intelligence, Javier Vázquez-Corral and Marcelo Bertalmío from IP4EC-UPF has been published in IEEE transactions on pattern analysis and machine intelligence.

03.12.2019

 

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 paper 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.

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