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Volume: 29 | Article ID: art00029
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Towards Foveated Just Noticeable Difference Modeling for Virtual Reality
  DOI :  10.2352/ISSN.2470-1173.2017.12.IQSP-243  Published OnlineJanuary 2017
Abstract

For the virtual reality (VR) applications, it is important to quantify the just-noticeable-difference (JND) profile of the image such that immersive experience could be provided. In this paper, we first propose a test plan of subjective quality assessment for VR image, then a foveated JND (FJND) model that is capable of modeling the basic vision properties to quantify the correlation between eccentricity and conventional JND. The psychophysical experiments discover the relationship among the relevant factors and quantify the foveated JND that could be used for immersive VR applications.

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Yuqiao Deng, Yingxue Zhang, Daiqin Yang, Zhenzhong Chen, "Towards Foveated Just Noticeable Difference Modeling for Virtual Realityin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XIV,  2017,  pp 198 - 201,  https://doi.org/10.2352/ISSN.2470-1173.2017.12.IQSP-243

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Copyright © Society for Imaging Science and Technology 2017
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Electronic Imaging
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Society for Imaging Science and Technology