• DocumentCode
    1783078
  • Title

    A new approach of image enhancement based on improved fuzzy domain algorithm

  • Author

    Wang Liejun ; Yan Ting

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Xinjiang Univ., Urumqi, China
  • fYear
    2014
  • fDate
    28-29 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Images like remote sensing images usually have a great deal of Gaussian noises, edge blurs etc. So a proper image enhancement algorithm which can remove noise and retain detail information is very important. In this paper a modified fuzzy-shrink image enhancement algorithm is proposed, which is in a combination of non-sub sampled contour-let transform (NSCT) domain and fuzzy domain. Compared with other similar methods like ant-shrink, sure-let, the proposed method is much better. The results show that the algorithm not only has optimal de-noising effect, but also the processed image is closer to the original image on the visual effects.
  • Keywords
    fuzzy set theory; image denoising; image enhancement; transforms; Gaussian noises; NSCT; ant-shrink; detail information; edge blurs; improved fuzzy domain algorithm; modified fuzzy-shrink image enhancement algorithm; nonsubsampled contourlet transform domain; optimal denoising effect; remote sensing images; sure-let; visual effects; Discrete wavelet transforms; Filter banks; Image edge detection; Noise reduction; PSNR; Non-subsampled Contour-let Transform (NSCT); image enhancement; modified fuzzy-shrink;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6731-5
  • Type

    conf

  • DOI
    10.1109/MFI.2014.6997676
  • Filename
    6997676