• DocumentCode
    2765476
  • Title

    A Novel Region Based Multifocus Image Fusion Method

  • Author

    Zaveri, Tanish ; Zaveri, Mukesh ; Shah, Virang ; Patel, Nirav

  • Author_Institution
    Comput. Eng. Dept., SVNIT, Surat, India
  • fYear
    2009
  • fDate
    7-9 March 2009
  • Firstpage
    50
  • Lastpage
    54
  • Abstract
    Image fusion is a process of combining multiple input images of the same scene into a single fused image, which preserves relevant information and also retains the important features from each of the original images and makes it more suitable for human and machine perception. In this paper, a novel region based image fusion method is proposed. In literature shows that region based image fusion algorithm performs better than pixel based fusion method. Proposed algorithm is applied on large number of registered images and results are compared using standard reference and no reference based fusion parameters. The proposed method is also compared with different methods reported in the recent literature. The simulation results show that our method performs better than other methods.
  • Keywords
    image fusion; image registration; image segmentation; human perception; image registration; machine perception; multifocus image fusion method; normalized cut set; region segmentation; Digital images; Discrete wavelet transforms; Focusing; Humans; Image fusion; Image reconstruction; Image resolution; Image segmentation; Pixel; Visual system; Image Fusion; Normalized cut set; Region Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Processing, 2009 International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-0-7695-3565-4
  • Type

    conf

  • DOI
    10.1109/ICDIP.2009.27
  • Filename
    5190590