Zhang Yan, An Ping, Zhang Qiu-Wen, Zhang Zhao-Yang. Binocular Stereoscopic Video Just Noticeable Distortion Model and Its Application to Quality Assessment[J]. Journal of Electronics & Information Technology, 2012, 34(3): 698-703. doi: 10.3724/SP.J.1146.2011.00799
Citation:
Zhang Yan, An Ping, Zhang Qiu-Wen, Zhang Zhao-Yang. Binocular Stereoscopic Video Just Noticeable Distortion Model and Its Application to Quality Assessment[J]. Journal of Electronics & Information Technology, 2012, 34(3): 698-703. doi: 10.3724/SP.J.1146.2011.00799
Zhang Yan, An Ping, Zhang Qiu-Wen, Zhang Zhao-Yang. Binocular Stereoscopic Video Just Noticeable Distortion Model and Its Application to Quality Assessment[J]. Journal of Electronics & Information Technology, 2012, 34(3): 698-703. doi: 10.3724/SP.J.1146.2011.00799
Citation:
Zhang Yan, An Ping, Zhang Qiu-Wen, Zhang Zhao-Yang. Binocular Stereoscopic Video Just Noticeable Distortion Model and Its Application to Quality Assessment[J]. Journal of Electronics & Information Technology, 2012, 34(3): 698-703. doi: 10.3724/SP.J.1146.2011.00799
Since current video quality assessment method based on Just Noticeable Distortion (JND) model can only assess monscopic video, a binocular JND model considering binocular luminance relationship is explored. First, binocular luminance relationship model is used according to stereo video characteristic. Then, many perception factors such as the background luminance masking effect, texture masking effect, intra-frame masking effect, spatiotemporal contrast sensitivity function, eye movement are considered. Finally, binocular JND model is applied to stereo video quality assessment. Experimental results prove that the proposed method can reflect the human visual perception characteristics and has a more consistency with the subjective judgments.