• DocumentCode
    1940381
  • Title

    Parallel multi-regions image restoration system and its implementation

  • Author

    Wan, Jinliang ; Ye, Long ; Zhang, Qin

  • Author_Institution
    Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    216
  • Lastpage
    220
  • Abstract
    Image can be parsed into two main categories of representation: structure shape and region texture. In this paper, the parallel multi-regions image restoration system is proposed in order to ensure the real-time application. This system is implemented on a dedicated cluster. With different number of regions, PMR system is executed on the same original image in order to obtain the best restoration result. Experiments have demonstrated that our PMR system can improve the restoration efficiency significantly and achieve optimal restoration.
  • Keywords
    image representation; image restoration; image texture; dedicated cluster; image parsing; parallel multiregions image restoration system; region texture representation; structure shape representation; Image reconstruction; Image restoration; Image segmentation; Manganese; Transform coding; HVS-based image restoration; parallel technique multi-regions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564089
  • Filename
    5564089