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Open AccessArticle

Quality Assessment of HDR/WCG Images Using HDR Uniform Color Spaces

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Harmonic Inc., ZAC des Champs Blancs, 57 Rue Clément Ader, 35510 Cesson-Sévigné, France
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Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Campus Universitaire de Beaulieu, 35042 Rennes CEDEX, France
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Author to whom correspondence should be addressed.
J. Imaging 2019, 5(1), 18; https://doi.org/10.3390/jimaging5010018
Received: 31 October 2018 / Revised: 21 December 2018 / Accepted: 4 January 2019 / Published: 14 January 2019
(This article belongs to the Special Issue Multimedia Content Analysis and Applications)
High Dynamic Range (HDR) and Wide Color Gamut (WCG) screens are able to render brighter and darker pixels with more vivid colors than ever. To assess the quality of images and videos displayed on these screens, new quality assessment metrics adapted to this new content are required. Because most SDR metrics assume that the representation of images is perceptually uniform, we study the impact of three uniform color spaces developed specifically for HDR and WCG images, namely, I C t C p , J z a z b z and H D R - L a b on 12 SDR quality assessment metrics. Moreover, as the existing databases of images annotated with subjective scores are using a standard gamut, two new HDR databases using WCG are proposed. Results show that MS-SSIM and FSIM are among the most reliable metrics. This study also highlights the fact that the diffuse white of HDR images plays an important role when adapting SDR metrics for HDR content. Moreover, the adapted SDR metrics does not perform well to predict the impact of chrominance distortions. View Full-Text
Keywords: image quality; High Dynamic Range; color gamut; image representation; image analysis; image processing image quality; High Dynamic Range; color gamut; image representation; image analysis; image processing
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MDPI and ACS Style

Rousselot, M.; Le Meur, O.; Cozot, R.; Ducloux, X. Quality Assessment of HDR/WCG Images Using HDR Uniform Color Spaces. J. Imaging 2019, 5, 18.

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