• DocumentCode
    108982
  • Title

    Detection of Blotch and Scratch in Video Based on Video Decomposition

  • Author

    Houqiang Li ; Zhenbo Lu ; Zhangyang Wang ; Qing Ling ; Weiping Li

  • Author_Institution
    Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    23
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    1887
  • Lastpage
    1900
  • Abstract
    In old video restoration, automatic detection of common defects, e.g., scratches and blotches, has always been emphasized. While prior thoughts mainly focus on detecting blotches and linear, vertical scratches separately, this paper contributes to a more generalized and challenging issue: simultaneous detection of blotches and complex scratches in video, with much less knowledge of them. We investigate the characteristics of blotches and scratches in space and time domain, and propose a novel detection method based on two main steps: cartoon-texture decomposition in the space domain and content-defect separation in the time domain. We then formulate it into convex optimization problems and develop corresponding algorithms. The experiment results demonstrate that the proposed method is of high detection accuracy, verifying the effectiveness of our detection via a video decomposition method.
  • Keywords
    convex programming; flaw detection; time-domain analysis; video signal processing; automatic detection; blotches; cartoon-texture decomposition; content-defect separation; convex optimization; old video restoration; scratches; simultaneous detection; space domain; time domain; video decomposition method; Accuracy; Algorithm design and analysis; Convex functions; Image decomposition; Video sequences; Blotch and scratch detection; convex optimization; digitized film restoration; video processing;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2013.2269016
  • Filename
    6542033