• DocumentCode
    142236
  • Title

    Image inpainting algorithm based on exemplar structure characteristics

  • Author

    Min Qi ; Zi-Yan Zhao ; Yue-Lei Xu ; Ke Li

  • Author_Institution
    Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
  • Volume
    3
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    1932
  • Lastpage
    1935
  • Abstract
    The traditional image restoration algorithm based on the sample block only considers simple structure information and will produce cumulative errors and other issues in the process of repair, which affected the overall effect of image restoration in large part, to address this problem, an improved algorithm based on Criminisi is proposed, which combines the improved priority function and new confidence item updating method. Simulation results show that the algorithm can effectively overcome the shortcomings of excessive filling in the texture-rich area and error derivative that Criminisi algorithm often appears.
  • Keywords
    image restoration; Criminisi algorithm; cumulative errors; exemplar structure characteristics; image inpainting algorithm; image restoration algorithm; priority function; texture-rich area; Algorithm design and analysis; Educational institutions; Equations; Filling; Image restoration; Maintenance engineering; Mathematical model; confidence item; gradient; image restoration; priority;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6946260
  • Filename
    6946260