• DocumentCode
    2227546
  • Title

    A new multi-focus image fusion algorithm based on Nonsubsampled Contourlet Transform

  • Author

    Zhai, Zhonghua ; Sun, Jifeng

  • Author_Institution
    Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    4
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    In this paper, a new multi-focus image fusion algorithm based on the Nonsubsampled Contourlet Transform (NSCT) is proposed. As a more effective multi-resolution analysis method, NSCT can give a better performance in image processing than the existing methods. Because Human Visual system(HVS) can only be sensitivity to regional characteristic rather than single pixel characteristic, region variance - maximum-based rule and region energy- maximum-based rule are employed to obtain high-frequency and low-frequency coefficients. In the experiments, we compared this strategy with wavelet-based algorithm and contourlet transform -based algorithm. Experimental results show that the fused result based on NSCT can achieve a better performance than the other algorithm.
  • Keywords
    image fusion; image resolution; wavelet transforms; HVS; NSCT; human visual system; image processing; low-frequency coefficients; maximum-based rule; multifocus image fusion algorithm; multiresolution analysis method; nonsubsampled contourlet transform; region variance; single pixel characteristic; wavelet-based algorithm; Discrete wavelet transforms; Educational institutions; Feature extraction; Filter bank; Image coding; Pixel; NSCT; energy variance; image fusion; objective evaluation criteria; regional variance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579509
  • Filename
    5579509