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Joint just noticeable difference model based on depth perception for stereoscopic images

  • Xiaoming Li*
  • , Yue Wang
  • , Debin Zhao
  • , Tingting Jiang
  • , Nan Zhang
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • University of Chinese Academy of Sciences
  • Peking University
  • Capital Medical University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2011 IEEE Visual Communications and Image Processing, VCIP 2011
DOIs
StatePublished - 2011
Event2011 IEEE Visual Communications and Image Processing, VCIP 2011 - Tainan, Taiwan, Province of China
Duration: 6 Nov 20119 Nov 2011

Publication series

Name2011 IEEE Visual Communications and Image Processing, VCIP 2011

Conference

Conference2011 IEEE Visual Communications and Image Processing, VCIP 2011
Country/TerritoryTaiwan, Province of China
CityTainan
Period6/11/119/11/11

Keywords

  • Just noticeable difference
  • disparity
  • human visual system
  • stereoscopic images

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