Stereoscopic video quality assessment based on stereo just-noticeable difference model

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, spatia...

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Bibliographic Details
Published in2013 IEEE International Conference on Image Processing pp. 34 - 38
Main Authors Feng Qi, Tingting Jiang, Xiaopeng Fan, Siwei Ma, Debin Zhao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2013
Subjects
Adaptation models
Image quality
Noise
Quality assessment
Retina
Stereo image processing
Three-dimensional displays
Video signal processing
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Summary: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.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2013.6738008