• DocumentCode
    2066876
  • Title

    Quality Assessment of Stereo Images with Stereo Vision

  • Author

    Shen, Lili ; Yang, Jiachen ; Zhang, Zhuoyun

  • Author_Institution
    Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A quality assessment method of stereo images is proposed firstly, which is based on the theories and methods of planar quality assessment-SSIM. It takes stereo (three-dimensional) vision into account, including the physiological stereoscopy and the psychological stereoscopy. Dense disparity of stereo images is extracted, then division into segments is carried out . The weighted structural similarity is achieved as the assessing index of stereo image quality. Experimental results show that the proposed method is more accurate than PPSNR, in accordance with human visual characteristic, and consistent with the result of subjective assessment.
  • Keywords
    feature extraction; image segmentation; stereo image processing; feature extraction; image segmentation; quality assessment method; stereo images; stereo vision; Data mining; Distortion measurement; Humans; Image quality; Image segmentation; PSNR; Predictive models; Psychology; Quality assessment; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5300818
  • Filename
    5300818