• DocumentCode
    526877
  • Title

    Vertical scratches detection based on edge detection for old film

  • Author

    Shiliang, Nie ; Hongying, Zhang ; Liping, Zhang ; Yang, Fan ; Brost, Vincent

  • Author_Institution
    Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-11 July 2010
  • Firstpage
    257
  • Lastpage
    260
  • Abstract
    Automatic detection of image damaged regions is the key to automatic video image inpainting. Vertical scratches are the common damages in the old film. In this paper, a vertical scratches detection algorithm based on edge detection is proposed. The proposed algorithm first uses the operator which has the largest response to the vertical edge in Sobel operator to detect edges, and then uses canny operator to detect edges further. Third, we detect vertical lines in the image through probabilistic Hough transform. Finally, we obtain the true locations of the vertical lines scratches through morphology and width constraints. Many experiments show that our method can detect vertical line scratches effectively in heavily-degraded film sequences.
  • Keywords
    Hough transforms; edge detection; image sequences; video signal processing; Sobel operator; automatic detection; automatic video image inpainting; canny operator; edge detection; heavily-degraded film sequence; image damaged region; old film restoraion; probabilistic Hough transform; vertical scratch detection; Analytical models; Educational institutions; Image edge detection; Image restoration; Tutorials; Image inpainting; edge detection; old film restoraion; scratch detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (IIS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7860-6
  • Type

    conf

  • DOI
    10.1109/INDUSIS.2010.5565861
  • Filename
    5565861