TY - GEN
T1 - Joint just noticeable difference model based on depth perception for stereoscopic images
AU - Li, Xiaoming
AU - Wang, Yue
AU - Zhao, Debin
AU - Jiang, Tingting
AU - Zhang, Nan
PY - 2011
Y1 - 2011
N2 - Just noticeable difference (JND) model can reflect the least perceptible distortion from images, including 2D images and stereoscopic images. As we know, for the perception of human visual system (HVS), stereoscopic images have quite different characteristics from 2D images, since stereoscopic images contain not only planar information, but also depth information. This paper proposes a joint JND (JJND) model based on depth perception for stereoscopic images. Firstly, disparity estimation is performed in order to decompose the image into the occlusion region and the non-overlapped region. Then, different JND thresholds are applied on different regions, according to the depth information of the region, which can be derived from the disparity of the region. Experimental results verified our model's validity for stereoscopic images.
AB - Just noticeable difference (JND) model can reflect the least perceptible distortion from images, including 2D images and stereoscopic images. As we know, for the perception of human visual system (HVS), stereoscopic images have quite different characteristics from 2D images, since stereoscopic images contain not only planar information, but also depth information. This paper proposes a joint JND (JJND) model based on depth perception for stereoscopic images. Firstly, disparity estimation is performed in order to decompose the image into the occlusion region and the non-overlapped region. Then, different JND thresholds are applied on different regions, according to the depth information of the region, which can be derived from the disparity of the region. Experimental results verified our model's validity for stereoscopic images.
KW - Just noticeable difference
KW - disparity
KW - human visual system
KW - stereoscopic images
UR - https://www.scopus.com/pages/publications/84862973297
U2 - 10.1109/VCIP.2011.6116016
DO - 10.1109/VCIP.2011.6116016
M3 - 会议稿件
AN - SCOPUS:84862973297
SN - 9781457713200
T3 - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
BT - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
T2 - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
Y2 - 6 November 2011 through 9 November 2011
ER -