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Volume: 31 | Article ID: art00012
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Evaluating the effectiveness of image quality metrics in a light field scenario
  DOI :  10.2352/ISSN.2470-1173.2019.11.IPAS-261  Published OnlineJanuary 2019
Abstract

In this contribution, an objective metric for quality evaluation of light field images is presented. The method is based on the exploitation of the depth information of a scene, that is captured with high accuracy by the light field imaging system. The depth map is estimated both from the original and impaired light field data. Then, a similarity measure is applied, and a mapping is performed to link the depth distortion with the perceived quality. Experimental test performed by comparing state-of-art metrics with the proposed one, demonstrate the effectiveness of the proposed metric.

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Giuliano Arru, Federica Battisti, Marco Carli, "Evaluating the effectiveness of image quality metrics in a light field scenarioin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XVII,  2019,  pp 261-1 - 261-6,  https://doi.org/10.2352/ISSN.2470-1173.2019.11.IPAS-261

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