• DocumentCode
    2202926
  • Title

    Background-based Objective Measure for Predicting Subjective Visual Quality of Distorted Image

  • Author

    Yang, Chin-Ann ; Yang, Jar-Ferr ; Chung, Pau-Choo

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan
  • fYear
    2006
  • fDate
    14-17 Nov. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a new image objective quality measure, which is based on background activities. The proposed background-based quality measure is base on singular value decomposition (SVD) of block and background images. The proposed objective quality measure with weighted background activities and singular vectors error between the corresponding original and the distorted image blocks exhibits a better subjective visual quality prediction. Experiments results also show that the proposed background-based SVD image quality measure truly provides a better correlation with the human eyes perception than the existing measures
  • Keywords
    eye; image processing; singular value decomposition; visual perception; SVD; block image; correlation; human eyes perception; image objective quality measure; singular value decomposition; visual quality prediction; Distortion measurement; Electric variables measurement; Eyes; Humans; Image quality; PSNR; Pixel; Signal to noise ratio; Singular value decomposition; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2006. 2006 IEEE Region 10 Conference
  • Conference_Location
    Hong Kong
  • Print_ISBN
    1-4244-0548-3
  • Electronic_ISBN
    1-4244-0549-1
  • Type

    conf

  • DOI
    10.1109/TENCON.2006.344071
  • Filename
    4142338