• DocumentCode
    2318461
  • Title

    Fast exemplar-based image inpainting approach

  • Author

    Hui-qin Wang ; Qing Chen ; Cheng-Hsiung Hsieh ; Peng Yu

  • Author_Institution
    Inf. & Control Eng. Coll., Xi´an Univ. of Archit. & Technol., Xi´an, China
  • Volume
    5
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    1743
  • Lastpage
    1747
  • Abstract
    This paper presents a way to improve the computation efficiency of exemplar-based inpainting approach in [4]. Note that the inpainting approach in [4] has computation redundancy in searching optimal patches in source region and updating fill front. A scheme to reduce source region and a modified scheme to update fill front are proposed. With the two schemes, better computation efficiency is expected. Several examples are given to justify the proposed fast inpainting approach and used to compare with the approach in [4]. The results indicate that the proposed approach has better computation efficiency than the approach in [4], as expected. Interesting enough, better visual quality of inpainted images is achieved by the proposed approach as well.
  • Keywords
    computational complexity; image texture; search problems; computation efficiency; computation redundancy; exemplar-based image inpainting approach; exemplar-based inpainting approach; inpainted images; searching optimal patches; source region; updating fill front; visual quality; Abstracts; TV; Exemplar-based Inpainting; Fill Front Update; Image Inpainting; Inpainting Efficiency; Reduced Source Region;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6359638
  • Filename
    6359638