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Volume: 32 | Article ID: art00018
On the Improvement of 2D Quality Assessment Metrics for Omnidirectional Images
  DOI :  10.2352/ISSN.2470-1173.2020.9.IQSP-287  Published OnlineJanuary 2020

Subjective quality assessment remains the most reliable way to evaluate image quality while being tedious and money consuming. Therefore, objective quality evaluation ensures a trade-off by providing a computational approach for predicting image quality. Even though a large literature exists for 2D image and video quality evaluation, 360-degree images quality is still under-explored. One can question the efficiency of 2D quality metrics on such a new type of content. To this end, we propose to study the possible improvement of well-known 2D quality metrics using important features related to 360-degree content, i.e. equator bias and visual saliency. The performance evaluation is conducted on two databases containing various distortion types. The obtained results show a slight improvement of the performance highlighting some problems inherently related to both the database content and the subjective evaluation approach used to obtain the observers’ quality scores.

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Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh, "On the Improvement of 2D Quality Assessment Metrics for Omnidirectional Imagesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XVII,  2020,  pp 287-1 - 287-11,

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