NDLI: DIBR synthesized image quality assessment based on morphological pyramids

Content Provider	IEEE Xplore Digital Library
Author	Sandic-Stankovic, D. Kukolj, D. Le Callet, P.
Copyright Year	2015
Description	Author affiliation: Inst. for Telecommun. & Electron., IRITEL, Belgrade, Serbia (Sandic-Stankovic, D.) \|\| Fac. of Tech. Sci., Univ. of Novi Sad, Novi Sad, Serbia (Kukolj, D.) \|\| IRCCyN Lab., Ecole Polytech. de l'Univ. de Nantes, Nantes, France (Le Callet, P.)
Abstract	Most Depth Image Based Rendering (DIBR) techniques produce synthesized images which contain non-uniform geometric distortions affecting edges coherency. This type of distortions are challenging for common image quality metrics. Morphological filters maintain important geometric information such as edges across different resolution levels. There is inherent congruence between the morphological pyramid decomposition scheme and human visual perception. In this paper, multi-scale measure, morphological pyramid peak signal-to-noise ratio MP-PSNR, based on morphological pyramid decomposition is proposed for the evaluation of DIBR synthesized images. It is shown that MPPSNR achieves much higher correlation with human judgment compared to the state-of-the-art image quality measures in this context.
Starting Page	1
Ending Page	4
File Size	228448
Page Count	4
File Format	PDF
ISBN	9781467380904
ISSN	2161203X
DOI	10.1109/3DTV.2015.7169368
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-08
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Band-pass filters Context Multi-scale PSNR Three-dimensional displays Distortion Distortion measurement morphological pyramids DIBR synthesized image quality assessment
Content Type	Text
Resource Type	Article

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