• DocumentCode
    1785980
  • Title

    Multifocus image fusion based on compressive sensing for visual sensor networks

  • Author

    Kazemi, Vahdat ; Seyedarabi, Hadi ; Aghagolzadeh, Ali

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
  • fYear
    2014
  • fDate
    20-22 May 2014
  • Firstpage
    1668
  • Lastpage
    1672
  • Abstract
    In this paper, we present a new and efficient multifocus image fusion based on compressive sensing in visual sensor networks. The energy consumption and bandwidth are mean factor in visual sensor networks which determine the lifetime of sensors. Thus, for reducing the energy consumption and bandwidth in transmission; the proposed method uses compressive sensing for fusion of multifocus images. The experimental results show that the proposed approach can achieve a higher fusion quality than some exiting fusion schemes.
  • Keywords
    cameras; compressed sensing; energy consumption; image fusion; wireless sensor networks; bandwidth reduction; compressive sensing; energy consumption; multifocus image fusion; sensor lifetime; visual sensor network; Cameras; Compressed sensing; Discrete wavelet transforms; Image fusion; Measurement; Sparse matrices; Visualization; compressive sensing; discrete wavelet transform; multifocus image fusion; visual sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
  • Conference_Location
    Tehran
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2014.6999806
  • Filename
    6999806