Detection and Recovery of Film Dirt for Archive Restoration Applications

Ren, Jinchang and Vlachos, T.; (2007) Detection and Recovery of Film Dirt for Archive Restoration Applications. In: Proceedings of IEEE International Conference on Image Processing, 2007. (ICIP 2007). IEEE, USA, pp. 21-24. ISBN 978-1-4244-1437-6 (https://doi.org/10.1109/ICIP.2007.4379943)

Abstract

A novel spatio-temporal method is proposed for film dirt detection and recovery. Firstly, a more reliable confidence measurement of dirt is extracted for color films. False alarms caused by motion are filtered using consistency checks among several measurements. Then, candidate dirt is detected by filtering and thresholding this confidence measurement. Finally, bi-directional local motion compensation and ML3Dex filtering are taken for the recovery of dirt pixels. Experiments on real data demonstrate the efficiency and effectiveness of our method in terms of both detection and recovery of dirt.

ORCID iDs

Ren, Jinchang ORCID: https://orcid.org/0000-0001-6116-3194

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• Item metadata

  Item type:	Book Section
  ID code:	29427
  Dates:	Date Event 2007 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	15 Mar 2011 12:18
  Last modified:	11 Nov 2024 14:42
  URI:	https://strathprints.strath.ac.uk/id/eprint/29427