• DocumentCode
    661358
  • Title

    The detection of blotches in old movies

  • Author

    Xu Li ; Ranran Zhang ; Yi Zhang

  • Author_Institution
    Sch. of Math. Sci., Nankai Univ., Tianjin, China
  • fYear
    2013
  • fDate
    Oct. 29 2013-Nov. 1 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Blotch detection is one of the most important steps in the old movies restoration. The existing blotch detection algorithms get higher correct detection rates by reducing the threshold value. However, the corresponding higher false alarms affect the following correction results directly. To maximize the ratio between correct detections and false alarms, an improved blotch detection algorithm based on simplified rank-ordered difference is proposed in this paper. The improved algorithm can achieve the most appropriate threshold for the different blotches in one frame by introducing dual-step adaptive multi-threshold; meanwhile the employment of texture matching avoids the possible deviation caused by motion vector estimation in the regions with blotches. Performance evaluation is taken to the image sequences with both real blotches and artificially corrupted ones separately. The experimental results indicate that our algorithm can achieve higher correct detection rates and lower false alarms.
  • Keywords
    humanities; image matching; image restoration; image sequences; image texture; object detection; video signal processing; blotch detection algorithm; dual-step adaptive multithreshold; image sequence; motion vector estimation; old movies restoration; simplified rank-ordered difference; texture matching; threshold value; Accuracy; Convergence; Detectors; Educational institutions; Image restoration; Image sequences; Motion pictures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
  • Conference_Location
    Kaohsiung
  • Type

    conf

  • DOI
    10.1109/APSIPA.2013.6694219
  • Filename
    6694219