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A Spatiotemporal Algorithm for Detection and Restoration of Defects in Old Color Films

  • Bekir Dizdaroglu
  • Ali Gangal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4678)

Abstract

A spatiotemporal method is presented for detection and concealment of local defects such as blotches in old color films. Initially, non-local means (NL-means) method which does not require motion estimation is used for noise removal in image sequences. Later, the motion vectors that are incorrectly estimated within defect regions are repaired by taking account of the temporal continuity of motion trajectory. The defects in films are detected by spike detection index (SDI) method, which are easily adapted to color image sequences. Finally, the proposed inpainting algorithm fills in detected defect regions, which is not required to estimate true motion like other approaches. The method is presented on synthetic and real image sequences, and efficient concealment results are obtained.

Keywords

Motion Vector Motion Estimation Normalize Mean Square Error Color Film Inpainting Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Bekir Dizdaroglu
    • 1
  • Ali Gangal
    • 1
  1. 1.Department of Electrical and Electronics Engineering, Karadeniz Technical University, 61080, TrabzonTurkey

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