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

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,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.

This work was supported in part by the Research Foundation of Karadeniz Technical University under Grant 2004.112.004.01.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Karadeniz Technical University, 61080, Trabzon, Turkey

    Ali Gangal

  2. Program of Computer Technology and Programming, Besikduzu Vocational School, Karadeniz Technical University, Trabzon, Turkey

    Bekir Dizdaroglu

Authors
  1. Ali Gangal
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  2. Bekir Dizdaroglu
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Editor information

Editors and Affiliations

  1. DGA/D4S/MRIS, 94114, Arcueil, France

    Jacques Blanc-Talon

  2. Ghent University, 9000, Gent, Belgium

    Wilfried Philips

  3. CSIRO ICT Centre, 1710, Sydney, NSW, Australia

    Dan Popescu

  4. University of Antwerp, 2610, Wilrijk, Belgium

    Paul Scheunders

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© 2006 Springer-Verlag Berlin Heidelberg

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Gangal, A., Dizdaroglu, B. (2006). Automatic Restoration of Old Motion Picture Films Using Spatiotemporal Exemplar-Based Inpainting. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_6

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  • DOI: https://doi.org/10.1007/11864349_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44630-9

  • Online ISBN: 978-3-540-44632-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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