Performance evaluation of objective quality metrics on HLG-based HDR image coding
Performance evaluation of objective quality metrics on HLG-based HDR image coding
Citació
- Sugito Y, Bertalmío M. Performance evaluation of objective quality metrics on HLG-based HDR image coding. In: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP); 2018 Nov 26-29; Anaheim, CA, USA. [New York]: IEEE; 2018. p. 96-100. DOI: 10.1109/GlobalSIP.2018.8646673
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Descripció
Resum
We evaluate the performance of objective quality metrics for high dynamic range (HDR) image coding that uses the transfer function (TF) of the Hybrid Log-Gamma (HLG) method. Previous evaluations of objective metrics for HDR image coding have studied which of them are reliable predictors of perceived quality; however, in those tests, all the non-linear transforms used both for encoding and by the best-performing metrics are essentially very similar and based on visual perception data of detection thresholds for lightness variations. The HLG non-linearity on the other hand is very different, as it is designed for backward compatibility with standard dynamic range (SDR) displays. We test a variety of options for objective metrics, including HLG-based. Our results show that the ranking of metrics for HDR coding changes drastically depending on the TF used for compression.Descripció
Comunicació presentada a: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), celebrada a Anaheim, Estats Units d'Amèrica, del 26 al 29 de novembre de 2018.