• DocumentCode
    2777986
  • Title

    Film line scratch removal using Kalman filtering and Bayesian restoration

  • Author

    Joyeux, Laurent ; Boukir, Samia ; Besserer, Bernard

  • Author_Institution
    Lab. d´´Inf. et d´´Imagerie Ind., Univ. de La Rochelle, France
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    8
  • Lastpage
    13
  • Abstract
    A suitable detection/reconstruction approach is proposed for removing line scratches from degraded motion picture films. The detection procedure consists of two steps. First, a simple 1D-extrema detector provides line scratch candidates. Line artifacts persist across several frames. Therefore, to reject false detections, the detected scratches are tracked over the sequence using a Kalman filter. A new Bayesian restoration technique, dealing with both low and high frequencies around and inside the detected artifacts, is investigated to achieve a near invisible restoration of damaged areas
  • Keywords
    Bayes methods; Kalman filters; cinematography; image restoration; Bayesian restoration; Kalman filtering; invisible restoration; motion picture films; reconstruction; scratch removal; Bayesian methods; Costs; Degradation; Detectors; Filtering; Frequency; Image restoration; Kalman filters; Motion detection; Motion pictures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Computer Vision, 2000, Fifth IEEE Workshop on.
  • Conference_Location
    Palm Springs, CA
  • Print_ISBN
    0-7695-0813-8
  • Type

    conf

  • DOI
    10.1109/WACV.2000.895396
  • Filename
    895396