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Journal of Electronic Imaging

HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images
Author(s): Manish Narwaria; Rafal Mantiuk; Mattheiu P. Da Silva; Patrick Le Callet
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Paper 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.

Paper Details

Date Published: 22 January 2015
PDF: 3 pages
J. Electron. Imaging. 24(1) 010501 doi: 10.1117/1.JEI.24.1.010501
Published in: Journal of Electronic Imaging Volume 24, Issue 1
Show Author Affiliations
Manish Narwaria, Institut de Recherche en Communications et en Cybernétique de Nantes (France)
Rafal Mantiuk, Bangor Univ. (United Kingdom)
Mattheiu P. Da Silva, Institut de Recherche en Communications et en Cybernétique de Nantes (France)
Patrick Le Callet, Institut de Recherche en Communications et en Cybernétique de Nantes (France)


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