• DocumentCode
    546898
  • Title

    Automatic film restoration: Metadata driven detection and removal of scratch and dirt

  • Author

    Theis, Oliver ; Köhler, Ralf

  • Author_Institution
    Deutsche Thomson OHG, Hannover, Germany
  • fYear
    2011
  • fDate
    23-24 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Motion picture films are often affected by scratch and dirt objects that reduce their quality. Manual restoration of digitized films is a time consuming and expensive business. We therefore present an automatic, three-step restoration process that generates editable metadata for quality control and reporting. For this, scratch and dirt detection and removal algorithms have been developed that do not require manual parameter adjustment. This solution is especially suited for restoration of large film archives with limited temporal and financial effort, but can also be applied to individual cases that require excellent quality.
  • Keywords
    cinematography; image motion analysis; image restoration; quality control; automatic film restoration; dirt removal; metadata driven detection; motion picture films; quality control; scratch removal; automatic; detection; dirt; film; metadata; process; removal; restoration; scratch; workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Media Technology (CEMT), 2011 14th ITG Conference on
  • Conference_Location
    Dortmund
  • Print_ISBN
    978-1-4577-1269-2
  • Electronic_ISBN
    978-3-00-033964-6
  • Type

    conf

  • Filename
    5936558