• DocumentCode
    1797899
  • Title

    Visible and infrared image fusion based on Curvelet transform

  • Author

    Siji Quan ; Weiping Qian ; Junhai Guo ; Hua Zhao

  • Author_Institution
    Beijing Inst. of Tracking & Telecommun. Technol., Beijing, China
  • fYear
    2014
  • fDate
    15-17 Nov. 2014
  • Firstpage
    828
  • Lastpage
    832
  • Abstract
    Infrared detection is significant in many fields, and sometimes infrared images are used to cover the shortcomings of visible images. Then image fusion between visible and infrared image is important in practical use. In this paper, we introduce Curvelet transform and its implementation to decompose images to different resolutions, and standard fusion rules are built to integrate information from both images. This algorithm is carried out on a set of standard image set, and is compared to a traditional method. It proves that this fusion algorithm based on Curvelet transform is effective enough to accomplish visible and infrared image fusion. Image preprocessing is mentioned but not discussed in detail.
  • Keywords
    curvelet transforms; image fusion; image resolution; infrared imaging; curvelet transform; image decomposition; image resolutions; infrared detection; infrared image fusion; infrared images; standard fusion rules; standard image set; visible image fusion; Algorithm design and analysis; Educational institutions; Gray-scale; Image fusion; Image resolution; Standards; Transforms; curvelet tranform; fusion rules; image fusion; infrared image; visible image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2014 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-5457-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2014.7009399
  • Filename
    7009399