NDLI: Quality enhancement of the multi-view exhibition system

Content Provider	IEEE Xplore Digital Library
Author	Chunjia Hu Guangtao Zhai Zhongpai Gao
Copyright Year	2015
Description	Author affiliation: Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., Shanghai, China (Chunjia Hu; Guangtao Zhai; Zhongpai Gao)
Abstract	Spatial Psychovisual Modulation (SPVM) is a newly proposed display technology which makes use of the redundancy in display capacity. Many applications (i.e., information security display and simultaneous dual-subtitle exhibition) have been developed based on SPVM. In the implementation of the SPVM systems, the original images are down-sampled line-by-line due to the property of polarization screens. The sampling process causes aliasing and influence negatively on the image quality. In this paper, we add a Lowpass Filter (LPF) into the original system before the sampling to eliminate the aliasing. We compare the improved algorithm and the direct method with objective image quality assessment (IQA). For both natural and computer generated images are used in SPVM, we tested our algorithm on many different databases. Considering the view distance of the SPVM system, we used the SAST model as the metrics of image quality. As a result, the proposed algorithm improves the IQA benchmark, which corresponds to our observation. The test also works as an application and test bed of the SAST IQA model. All the equipments of the multi-view exhibition system is off-the-shelf so it's cheaper to realize. And the enhancement in quality make the system capable for screens with lower PPI.
Starting Page	1
Ending Page	5
File Size	295958
Page Count	5
File Format	PDF
ISBN	9781479986392
ISSN	21593450
e-ISBN	9781479986415
DOI	10.1109/TENCON.2015.7372788
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Glass Indexes Image resolution Modulation Computers image quality assessment SPVM TPVM aliasing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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