• DocumentCode
    3447842
  • Title

    A novel image enhancement method using local Gamma correction with three-level thresholding

  • Author

    Jinfang Shi ; Yong Cai

  • Author_Institution
    Sch. of Manuf. Sci. & Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    20-22 Aug. 2011
  • Firstpage
    374
  • Lastpage
    378
  • Abstract
    Uneven illumination always affects image quality seriously in practice. To weaken illumination effect on image quality, this paper proposes an enhancement method using local Gamma correction with three-level thresholding. First, three-level thresholding is used to segment the image based on maximum fuzzy entropy. It can make it possible to segment the image into three gray levels (dark, medium tone, and bright). Then, local Gamma correction is applied to the three levels respectively. Finally, the image by Gamma correction is linear stretched with saturation. The experiment results show that the proposed method gives good performance.
  • Keywords
    fuzzy set theory; image colour analysis; image enhancement; image segmentation; maximum entropy methods; gray level; illumination effect; image enhancement; image quality; image segmentation; local gamma correction; maximum fuzzy entropy; three-level thresholding; Color; Entropy; Histograms; Image color analysis; Image enhancement; Image segmentation; Lighting; image enhancement; local Gamma correction; three-level thresholding; uneven illumination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-8622-9
  • Type

    conf

  • DOI
    10.1109/ITAIC.2011.6030226
  • Filename
    6030226