• DocumentCode
    3007812
  • Title

    Image Fusion Based on NSCT and Fuzzy Logic

  • Author

    Ren, Xianyi ; Zheng, Yijun ; Hu, Tao ; Zhang, Jihong

  • Author_Institution
    Shenzhen Key Lab. of Visual Media Process. & Transm., Shenzhen Inst. of Inf. Technol., Shenzhen, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Nonsubsampled contourlet transform (NSCT) can provide flexible multiresolution, anisotropy, and directional expansion for images. Compared with the original contourlet transform, it is shift-invariant and can overcome the pseudo-gibbs phenomena around singularities. Fuzzy logic is an efficient intelligent method to handle uncertain information. In this paper, a novel image fusion algorithm is proposed based on the NSCT and fuzzy logic. Extensive experiments show that the proposed method can improve subjective and objective results compared to some other fusion approaches.
  • Keywords
    fuzzy logic; image fusion; image resolution; transforms; NSCT; anisotropy; directional expansion; fuzzy logic; image fusion algorithm; intelligent method; multiresolution; nonsubsampled contourlet transform; original contourlet transform; pseudo-gibbs phenomena; shift-invariant; Algorithm design and analysis; Discrete wavelet transforms; Fuzzy logic; Fuzzy sets; Image fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5631292
  • Filename
    5631292