Detection of dirt impairments from archived film sequences: survey and evaluations

Jinchang Ren, T. Vlachos

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
119 Downloads (Pure)


Film dirt is the most commonly encountered artifact in archive restoration applications. Since dirt usually appears as a temporally impulsive event, motion-compensated interframe processing is widely applied for its detection. However, motion-compensated prediction requires a high degree of complexity and can be unreliable when motion estimation fails. Consequently, many techniques using spatial or spatiotemporal filtering without motion were also been proposed as alternatives. A comprehensive survey and evaluation of existing methods is presented, in which both qualitative and quantitative performances are compared in terms of accuracy, robustness, and complexity. After analyzing these algorithms and identifying their limitations, we conclude with guidance in choosing from these algorithms and promising directions for future research.
Original languageEnglish
Article number067005
JournalOptical Engineering
Issue number6
Publication statusPublished - 1 Jul 2010


  • image restoration
  • image sequences
  • spatial filters
  • film dirt detection


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