• DocumentCode
    1785574
  • Title

    Implementation of image processing applications with evolutionary fault recovery scheme

  • Author

    Yadegari, Elaheh ; Fakhraie, S. Mehdi

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
  • fYear
    2014
  • fDate
    20-22 May 2014
  • Firstpage
    458
  • Lastpage
    462
  • Abstract
    This paper presents an evolutionary fault recovery scheme using Evolvable Hardware (EHW) to have reliable computations. The scheme is based on Genetic Algorithm as Evolutionary Algorithm used in EHW and uses Look Up Tables (LUTs) as basic reconfigurable elements. The scheme can recover a component with more than one fault and uses limited spare cells. The recovered hardware shows reasonable functionality when used in image processing applications. A 4-bit comparator, which is injected with up to 12 faults, is tested for an image median filtering. After recovery, there is only l.51dB loss in PNSR of the considered median filter.
  • Keywords
    genetic algorithms; image filtering; table lookup; 4-bit comparator; EHW; LUT; evolutionary algorithm; evolutionary fault recovery scheme; evolvable hardware; genetic algorithm; image median filtering; image processing; look up tables; Circuit faults; Fault tolerance; Fault tolerant systems; Field programmable gate arrays; Genetic algorithms; Hardware; Table lookup; Evolvable Hardware; Genetic Algorithm; fault recovery; image processing; reconfigurable hardware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
  • Conference_Location
    Tehran
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2014.6999584
  • Filename
    6999584