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

Full text not available in this repository.Request a copy from the Strathclyde author

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.