• DocumentCode
    2920172
  • Title

    Structure and Hue Similarity for Color Image Quality Assessment

  • Author

    Shi, Yunyu ; Ding, Youdong ; Zhang, Ranran ; Li, Jun

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai
  • fYear
    2009
  • fDate
    20-22 Feb. 2009
  • Firstpage
    329
  • Lastpage
    333
  • Abstract
    An improved model (SHSIM) for color image quality assessment is proposed in this paper, which is based on the fact that structural and color information are all important for human viewers to evaluate images quality. The relative importance values of two components are determined through the experiments. Our experimental results indicate that SHSIM performs a little better than SSIM which focus on structural information of images, and better than CD-PSNR which works with color information only.
  • Keywords
    image colour analysis; CD- PSNR; color image quality assessment; color information; hue similarity; structure similarity; Color; Data mining; Distortion measurement; Humans; Image quality; Layout; Predictive models; Quality assessment; Visual perception; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Computer Technology, 2009 International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-0-7695-3559-3
  • Type

    conf

  • DOI
    10.1109/ICECT.2009.116
  • Filename
    4795977