dc.contributor.author | Sendjasni, Abderrezzaq | |
dc.contributor.author | Larabi, Mohamed-Chaker | |
dc.contributor.author | Alaya Cheikh, Faouzi | |
dc.date.accessioned | 2021-02-23T10:23:39Z | |
dc.date.available | 2021-02-23T10:23:39Z | |
dc.date.created | 2020-11-18T10:25:02Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | IS&T International Symposium on Electronic Imaging Science and Technology. 2020, 2020 (9), . | en_US |
dc.identifier.issn | 2470-1173 | |
dc.identifier.uri | https://hdl.handle.net/11250/2729729 | |
dc.description.abstract | 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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Society for Imaging Science and Technology | en_US |
dc.title | On the improvement of 2D quality assessment metrics for omnidirectional images | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 11 | en_US |
dc.source.volume | 2020 | en_US |
dc.source.journal | IS&T International Symposium on Electronic Imaging Science and Technology | en_US |
dc.source.issue | 9 | en_US |
dc.identifier.doi | 10.2352/ISSN.2470-1173.2020.9.IQSP-287 | |
dc.identifier.cristin | 1849114 | |
dc.description.localcode | This article will not be available due to copyright restrictions (c) 2020 by Society for Imaging Science and Technology | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |