TY - GEN
T1 - Stereoscopic video quality assessment based on stereo just-noticeable difference model
AU - Qi, Feng
AU - Jiang, Tingting
AU - Fan, Xiaopeng
AU - Ma, Siwei
AU - Zhao, Debin
PY - 2013
Y1 - 2013
N2 - In this paper, we propose a full reference Stereoscopic Video Quality Assessment (SVQA) algorithm based on the Stereo Just-Noticeable Difference (SJND) model. Firstly, SJND mimic the human binocular visual system characteristics from four factors, including: sensitivity of luminance contrast, spatial masking, temporal masking and binocular masking. Secondly, based on the SJND model, the full reference SVQA is developed, by capturing spatio-temporal distortions and binocular perceptions. Finally, experimental results have demonstrated that the proposed SVQA outperforms other four current evaluation methods and has a good consistency with the observers' subjective perception.
AB - In this paper, we propose a full reference Stereoscopic Video Quality Assessment (SVQA) algorithm based on the Stereo Just-Noticeable Difference (SJND) model. Firstly, SJND mimic the human binocular visual system characteristics from four factors, including: sensitivity of luminance contrast, spatial masking, temporal masking and binocular masking. Secondly, based on the SJND model, the full reference SVQA is developed, by capturing spatio-temporal distortions and binocular perceptions. Finally, experimental results have demonstrated that the proposed SVQA outperforms other four current evaluation methods and has a good consistency with the observers' subjective perception.
KW - Image quality
KW - Video signal processing
UR - https://www.scopus.com/pages/publications/84897692580
U2 - 10.1109/ICIP.2013.6738008
DO - 10.1109/ICIP.2013.6738008
M3 - 会议稿件
AN - SCOPUS:84897692580
SN - 9781479923410
T3 - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
SP - 34
EP - 38
BT - 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PB - IEEE Computer Society
T2 - 2013 20th IEEE International Conference on Image Processing, ICIP 2013
Y2 - 15 September 2013 through 18 September 2013
ER -