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Automatic Restoration of Old Motion Picture Films Using Spatiotemporal Exemplar-Based Inpainting

  • Ali Gangal
  • Bekir Dizdaroglu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)

Abstract

This paper presents a method for automatic removal of local defects such as blotches and impulse noise in old motion picture films. The method is fully automatic and includes the following steps: fuzzy prefiltering, motion-compensated blotch detection, and spatiotemporal inpainting. The fuzzy prefilter removes small defective areas such as impulse noise. Modified bidirectional motion estimation with a predictive diamond search is utilized to estimate the motion vectors. The blotches are detected by the rank-ordered-difference method. Detected missing regions are interpolated by a new exemplar-based inpainting approach that operates on three successive frames. The performance of the proposed method is demonstrated on an artificially corrupted image sequence and on a real motion picture film. The results of the experiments show that the proposed method efficiently removes flashing and still blotches and impulse noise from image sequences.

Keywords

Motion Vector Motion Estimation Motion Trajectory Current Frame Impulse Noise 
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 2006

Authors and Affiliations

  • Ali Gangal
    • 1
  • Bekir Dizdaroglu
    • 2
  1. 1.Department of Electrical and Electronics EngineeringKaradeniz Technical UniversityTrabzonTurkey
  2. 2.Program of Computer Technology and Programming, Besikduzu Vocational SchoolKaradeniz Technical UniversityTrabzonTurkey

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