• DocumentCode
    1609165
  • Title

    Search efficiency function- PSO combination for blind image restoration

  • Author

    Toumi, Ahmed ; Rechid, N. ; Taleb-Ahmed, A. ; Benmahammed, K.

  • Author_Institution
    Univ. Mohamed Khidher, Biskra, Algeria
  • fYear
    2012
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    In this work we propose, for the first time, a combined method for blind image restoration. This combination is based on PSO and the integration in it of the search efficiency function that represent the optimal searching strategy elaborated by honeybees when searching for food, and its use for the first time in image processing, to carry out the restoration operation of the only blurred images and blurred and noisy ones. The results we got were excellent.
  • Keywords
    image restoration; particle swarm optimisation; PSO combination; blind image restoration; blurred images; image processing; noisy images; particle swarm optimisation; search efficiency function; Cost function; Degradation; Educational institutions; Image restoration; Noise measurement; PSNR; Particle swarm optimization; Blind image restoration; PSNR; PSO; Search Efficiency Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-1657-6
  • Type

    conf

  • DOI
    10.1109/SETIT.2012.6481931
  • Filename
    6481931
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1609165