• DocumentCode
    2301085
  • Title

    Objective quality assessment of JPEG distorted stereoscopic image

  • Author

    Yinghua Shen ; Chaohui Lu ; Hui Ren

  • Author_Institution
    Sch. of Inf. Eng. Commun., Univ. of China, Beijing, China
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    935
  • Lastpage
    938
  • Abstract
    This paper presents a new metric for the quality assessment of stereoscopic image. Quality assessment of stereoscopic image has different from 2D image, since stereoscopic image contains depth information. We combine depth saliency map with MSSIM algorithm to assessment JPEG distorted stereoscopic image quality. The experimental results show that the proposed method could accurate and objective evaluation of stereoscopic images quality.
  • Keywords
    image coding; stereo image processing; 2D image; JPEG distorted stereoscopic image quality assessment; MSSIM algorithm; depth information; depth saliency map; objective quality assessment; depth saliency map; quality metric; stereoscopic image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6526080
  • Filename
    6526080