• DocumentCode
    3440493
  • Title

    Objective Image Quality Assessment Based on Image Complexity and Color Similarity

  • Author

    Shuang Yang ; Pan Gao ; Fang Meng ; Xiuhua Jiang ; Hao Liu

  • Author_Institution
    Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
  • fYear
    2013
  • fDate
    3-4 Dec. 2013
  • Firstpage
    5
  • Lastpage
    9
  • Abstract
    This paper proposes a new objective assessment method for image quality based on content complexity and color similarity. Considering that human visual perception is sensitive to color distortion in compressed images due to different content complexity, we analyze the effects of image complexity and color similarity to images quality. Based on above analysis, we propose a method to establish the relationship between image quality and those two factors. The method includes the following steps: carrying out image color space conversion, calculating the image complexity and the color similarity, adjusting color similarity according to the different image complexity, and then obtaining the evaluation results. Experimental results show that our method can obtain a good consistency with the subjective results.
  • Keywords
    computational complexity; image coding; image colour analysis; visual perception; color distortion; color similarity adjustment; content complexity; human visual perception; image color space conversion; image complexity; image compression; objective assessment method; objective image quality assessment; Complexity theory; Correlation; Image coding; Image color analysis; Image quality; NIST; Training; NBS color distance; image complexity; image quality; objective assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (WCSE), 2013 Fourth World Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-2882-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2013.6
  • Filename
    6754256