Automatic restoration of old motion picture films using spatiotemporal exemplar-based inpainting

Authors:
Ali Gangal;Bekir Dizdaroglu
Affiliations:
Department of Electrical and Electronics Engineering, Karadeniz Technical University, Trabzon, Turkey;Program of Computer Technology and Programming, Besikduzu Vocational School, Karadeniz Technical University, Trabzon, Turkey
Venue:
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Year:
2006

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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.