• DocumentCode
    2706682
  • Title

    A partial differential equation algorithm for image enhancement

  • Author

    Fu, Yanan ; Yan, Tingfang ; Zhang, David W. ; Meng, Max Q -H

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    6-8 June 2012
  • Firstpage
    606
  • Lastpage
    610
  • Abstract
    A novel approach for image enhancement is presented in this paper. The enhancement result is achieved by combination the means of contrast enhancement, image smoothing and image sharpening techniques into one partial differential equation (PDE) framework. In the image evolution process, three kinds of operation execute at the same time, using the regularization parameters to adjust the proportion of each operation in the evolution process, ultimately achieve the desired results. The simulations for both gray and color images are given in the experiments. Experimental results demonstrate that the method substantially improves the subjective quality of the enhanced images.
  • Keywords
    image colour analysis; image enhancement; partial differential equations; PDE framework; color images; contrast enhancement; gray images; image enhancement; image evolution process; image sharpening techniques; image smoothing; partial differential equation algorithm; regularization parameters; Equations; Image edge detection; Image enhancement; Mathematical model; Noise; Smoothing methods; PDE; contrast enhancement; image enhancement; image sharpening; image smoothing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2012 International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4673-2238-6
  • Electronic_ISBN
    978-1-4673-2236-2
  • Type

    conf

  • DOI
    10.1109/ICInfA.2012.6246885
  • Filename
    6246885