• DocumentCode
    3258927
  • Title

    Entropy powered image fusion based on multi scale top-hat transform

  • Author

    Bai, Xiangzhi ; Gu, Shuhang ; Zhou, Fugen

  • Author_Institution
    Image Process. Center, Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1083
  • Lastpage
    1087
  • Abstract
    An entropy powered image fusion algorithm using multi scale top-hat transform is proposed in this paper. At the beginning, multi scale white and black top-hat transforms are used to extract bright and black image regions of images. To be efficient for image fusion, an entropy powered image fusion strategy is proposed. The extracted bright and black image regions are firstly powered corresponding to each pixel, then the powered bright and black image regions are fused in the fusion image, which well preserves the useful image information in the final fusion image. Experimental results using multi modal images and multi focus images show that, our algorithm is efficient and could be widely used in the field of image fusion.
  • Keywords
    entropy; image fusion; entropy powered image fusion; multi focus images; multi modal images; multi scale black top-hat transforms; multi scale top-hat transform; multi scale white top-hat transforms; Algorithm design and analysis; Entropy; Feature extraction; Image fusion; Pixel; Signal processing algorithms; Transforms; entropy; image fusion; mathematical morphology; multi scale; top-hat transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646893
  • Filename
    5646893