TY - GEN
T1 - Full-reference quality assessment of stereoscopic images using disparity-gradient-phase similarity
AU - Li, Feifei
AU - Shen, Liquan
AU - Wu, Dapeng
AU - Fang, Ruigang
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2015/8/31
Y1 - 2015/8/31
N2 - With the effort done by many researchers on 2D image quality assessment, the correlation between subjectivity scores in the databases and the objective scores obtained by current image quality metrics reaches to a high level. However, stereoscopic image quality metrics do not achieve a good performance on 3D image databases. It's important to take advantage of the high efficient 2D image quality metrics as well as the properties of stereoscopic images to form a new metric. In this paper, we develop a novel full-reference quality metric for stereoscopic images using disparity-gradient-phase-congruency similarity (DGP-SIM). Firstly, cyclopean images are generated using the stereo pairs by considering the binocular perception and combination properties of human visual system (HVS). Secondly, phase congruency (PC) and gradient magnitude (GM) are extracted from the original and distorted cyclopean images, and then two similarity indexes are computed. We also compute the disparity similarity which can influence stereoscopic image quality. Finally, three feature similarity indexes are mixed together to derive a single quality score. Experimental results show that the proposed metric can achieve a good consistency with subjective assessment of stereoscopic images.
AB - With the effort done by many researchers on 2D image quality assessment, the correlation between subjectivity scores in the databases and the objective scores obtained by current image quality metrics reaches to a high level. However, stereoscopic image quality metrics do not achieve a good performance on 3D image databases. It's important to take advantage of the high efficient 2D image quality metrics as well as the properties of stereoscopic images to form a new metric. In this paper, we develop a novel full-reference quality metric for stereoscopic images using disparity-gradient-phase-congruency similarity (DGP-SIM). Firstly, cyclopean images are generated using the stereo pairs by considering the binocular perception and combination properties of human visual system (HVS). Secondly, phase congruency (PC) and gradient magnitude (GM) are extracted from the original and distorted cyclopean images, and then two similarity indexes are computed. We also compute the disparity similarity which can influence stereoscopic image quality. Finally, three feature similarity indexes are mixed together to derive a single quality score. Experimental results show that the proposed metric can achieve a good consistency with subjective assessment of stereoscopic images.
KW - binocular combination
KW - binocular disparity
KW - full reference
KW - quality assessment
KW - stereoscopic image quality
UR - http://www.scopus.com/inward/record.url?scp=84957594694&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84957594694&origin=recordpage
U2 - 10.1109/ChinaSIP.2015.7230486
DO - 10.1109/ChinaSIP.2015.7230486
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781479919482
T3 - 2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
SP - 658
EP - 662
BT - 2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
PB - IEEE
T2 - IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015
Y2 - 12 July 2015 through 15 July 2015
ER -