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Benchmarking screen content image quality evaluation in spatial psychovisual modulation display system
Chen, Yuanchun1; Zhai, Guangtao1; Gu, Ke2; Zhang, Xinfeng3; Lin, Weisi3; Zhou, Jiantao4
Conference Name18th Pacific-Rim Conference on Multimedia, PCM 2017
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10735 LNCS
Conference Date9 28, 2017 - 9 29, 2017
Conference PlaceHarbin, China
Author of SourceSpringer Verlag

Spatial Psychovisual Modulation (SPVM) is a novel information display technology which aims to simultaneously generate multiple visual percepts for different viewers on a single display. The SPVM system plays an important role in information security. In a SPVM system, the viewers wearing polarized glasses can see a specific image (called personal view), and meanwhile the viewers not wearing glasses can also see a semantically meaningful image (called shared view). Researches on screen content image (SCI) are very hot recently, which have received a great amount of attention from multiple fields in multimedia signal processing. In this paper, we focus our gaze on how the users’ quality-of-experience on SCIs is influenced under the SPVM display system. To this aim, we implement a comprehensive subjective quality assessment of SCIs by building a database which contains the distorted SCIs generated by a SPVM system. We run prevailing image quality methods on the newly established database, and results of experiments indicate that existing image quality metrics cannot reach a good performance, possibly due to some unique distortions, e.g. false contour and ghosting artifacts of SPVM-generated SCIs. Furthermore, we also point out some potential features which may lead to a high-performance metric by some appropriate modification and combination. © Springer International Publishing AG, part of Springer Nature 2018.

Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000460422000060
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Document TypeConference paper
Affiliation1.Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China;
2.BJUT Faculty of Information Technology, Beijing University of Technology, Beijing, China;
3.Nanyang Technological University, Singapore, Singapore;
4.University of Macau, China
Recommended Citation
GB/T 7714
Chen, Yuanchun,Zhai, Guangtao,Gu, Ke,et al. Benchmarking screen content image quality evaluation in spatial psychovisual modulation display system[C]//Springer Verlag,2018:629-640.
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