Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
