JEI Letters

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

[+] Author Affiliations
Manish Narwaria, Mattheiu Perreira Da Silva, Patrick Le Callet

LUNAM University, IRCCyN CNRS UMR 6597, Polytech Nantes, Rue Christian Pauc, La Chantrerie B.P. 50609 44306, Nantes Cedex 3, France

Rafal K. Mantiuk

Bangor University, School of Computer Science, Dean Street, Bangor, LL57 1UT, United Kingdom

J. Electron. Imaging. 24(1), 010501 (Jan 22, 2015). doi:10.1117/1.JEI.24.1.010501
History: Received September 26, 2014; Accepted December 29, 2014
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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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Citation

Manish Narwaria ; Rafal K. Mantiuk ; Mattheiu Perreira Da Silva and Patrick Le Callet
"HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images", J. Electron. Imaging. 24(1), 010501 (Jan 22, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.1.010501


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