HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images

Manish Narwaria; Rafal Mantiuk; Mattheiu  P. Da Silva; Patrick Le Callet

doi:10.1117/1.JEI.24.1.010501

22 January 2015 HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images

Manish Narwaria, Rafal Mantiuk, Mattheiu P. Da Silva, Patrick Le Callet

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 1, 010501 (January 2015). https://doi.org/10.1117/1.JEI.24.1.010501

Abstract

With the emergence of high-dynamic range (HDR) imaging, the existing visual signal processing systems will need to deal with both HDR and standard dynamic range (SDR) signals. In such systems, computing the objective quality is an important aspect in various optimization processes (e.g., video encoding). To that end, we present a newly calibrated objective method that can tackle both HDR and SDR signals. As it is based on the previously proposed HDR-VDP-2 method, we refer to the newly calibrated metric as HDR-VDP-2.2. Our main contribution is toward improving the frequency-based pooling in HDR-VDP-2 to enhance its objective quality prediction accuracy. We achieve this by formulating and solving a constrained optimization problem and thereby finding the optimal pooling weights. We also carried out extensive cross-validation as well as verified the performance of the new method on independent databases. These indicate clear improvement in prediction accuracy as compared with the default pooling weights. The source codes for HDR-VDP-2.2 are publicly available online for free download and use.

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Manish Narwaria, Rafal Mantiuk, Mattheiu P. Da Silva, and Patrick Le Callet "HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images," Journal of Electronic Imaging 24(1), 010501 (22 January 2015). https://doi.org/10.1117/1.JEI.24.1.010501

Published: 22 January 2015

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