Image Quality Evaluation in Professional HDR/WCG Production Questions the Need for HDR Metrics
Sugito, Yasuko (NHK Science and Technology Research Laboratories)
Vázquez i Corral, Javier (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Canham, Trevor (Instituto de Óptica - CSIC)
Bertalmío, Marcelo (Instituto de Óptica - CSIC)

Data:	2022
Resum:	In the quality evaluation of high dynamic range and wide color gamut (HDR/WCG) images, a number of works have concluded that native HDR metrics, such as HDR visual difference predictor (HDR-VDP), HDR video quality metric (HDR-VQM), or convolutional neural network (CNN)-based visibility metrics for HDR content, provide the best results. These metrics consider only the luminance component, but several color difference metrics have been specifically developed for, and validated with, HDR/WCG images. In this paper, we perform subjective evaluation experiments in a professional HDR/WCG production setting, under a real use case scenario. The results are quite relevant in that they show, firstly, that the performance of HDR metrics is worse than that of a classic, simple standard dynamic range (SDR) metric applied directly to the HDR content; and secondly, that the chrominance metrics specifically developed for HDR/WCG imaging have poor correlation with observer scores and are also outperformed by an SDR metric. Based on these findings, we show how a very simple framework for creating color HDR metrics, that uses only luminance SDR metrics, transfer functions, and classic color spaces, is able to consistently outperform, by a considerable margin, state-of-the-art HDR metrics on a varied set of HDR content, for both perceptual quantization (PQ) and Hybrid Log-Gamma (HLG) encoding, luminance and chroma distortions, and on different color spaces of common use.
Ajuts:	European Commission 952027 Agencia Estatal de Investigación PID2021-128178OB-I00
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Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	High dynamic range (HDR) ; Image coding ; Objective quality metric ; Visual perception ; Wide color gamut (WCG)
Publicat a:	IEEE transactions on image processing, Vol. 31 (2022) , p. 5163-5177, ISSN 1057-7149

DOI: 10.1109/TIP.2022.3190706
PMID: 35853056

Postprint 16 p, 10.8 MB

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