• DocumentCode
    234373
  • Title

    Global overlapping block based reconstruction using exact Legendre moments

  • Author

    Bahaoui, Zaineb ; Zenkouar, Khalid ; Zarghili, Arsalane ; El Fadili, Hakim ; Qjidaa, Hassan

  • Author_Institution
    Lab. of Intell. Sysems & Applic. (LSIA), Univ. Sidi Mohamed Ben Abdellah, Fez, Morocco
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    323
  • Lastpage
    328
  • Abstract
    In this paper, we propose a novel method for reconstruction of the multi-gray level images using the exact computation of Legendre moments. The purpose of this method is to ensure high accuracy and low computation time, by dividing the image into a set of blocks instead of treating the whole image. For mitigating the blocking artifact involved in the reconstruction process, we propose a new approach based on block Reconstruction using a Global Overlapping Block and Exact Legendre Moments computation (GOBRELM). A typical comparison of the proposed method with the conventional ones concludes to very impressive and promising results concerning image quality and time consuming. The main motivation of the proposed approach is to allow fast and efficient reconstruction algorithm, with improvement of the reconstructed image quality and time consumption. This makes our method attractive for real time applications.
  • Keywords
    image reconstruction; image segmentation; GOBRELM; blocking artifact mitigation; exact Legendre moment computation; global overlapping block based reconstruction; image quality; multigray level image segmentation; Accuracy; Decision support systems; Image quality; Image reconstruction; PSNR; Real-time systems; Reconstruction algorithms; Blocking artifact; Computation time; Exact Legendre Moments computation; Global overlapping; Gray level images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in
  • Conference_Location
    Tetouan
  • Print_ISBN
    978-1-4799-5978-5
  • Type

    conf

  • DOI
    10.1109/CIST.2014.7016640
  • Filename
    7016640