dc.contributor.author | Fan, Yu | |
dc.contributor.author | Larabi, Mohamed-Chaker | |
dc.contributor.author | Alaya Cheikh, Faouzi | |
dc.contributor.author | Fernandez-Maloigne, Christine | |
dc.date.accessioned | 2020-04-01T08:12:00Z | |
dc.date.available | 2020-04-01T08:12:00Z | |
dc.date.created | 2020-01-09T13:28:20Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. 2019, 2019-May 2277-2281. | en_US |
dc.identifier.issn | 1520-6149 | |
dc.identifier.uri | https://hdl.handle.net/11250/2649800 | |
dc.description.abstract | In this paper, we propose a saliency-weighted stereoscopic JND (SSJND) model constructed based on psychophysical experiments, accounting for binocular disparity and spatial masking effects of the human visual system (HVS). Specifically, a disparity-aware binocular JND model is first developed using psychophysical data, and then is employed to estimate the JND threshold for non-occluded pixel (NOP). In addition, to derive a reliable 3D-JND prediction, we determine the visibility threshold for occluded pixel (OP) by including a robust 2D-JND model. Finally, SSJND thresholds of one view are obtained by weighting the resulting JND for NOP and OP with their visual saliency. Based on subjective experiments, we demonstrate that the proposed model outperforms the other 3D-JND models in terms of perceptual quality at the same noise level. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.title | Just Noticeable Difference Model for Asymmetrically Distorted Stereoscopic Images | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 2277-2281 | en_US |
dc.source.volume | 2019-May | en_US |
dc.source.journal | Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing | en_US |
dc.identifier.doi | 10.1109/ICASSP.2019.8682545 | |
dc.identifier.cristin | 1769418 | |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |