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Detection of dirt impairments from archived film sequences : survey and evaluations

Ren, Jinchang and Vlachos, T. (2010) Detection of dirt impairments from archived film sequences : survey and evaluations. Optical Engineering, 49 (6). ISSN 0091-3286

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Film dirt is the most commonly encountered artifact in archive restoration applications. Since dirt usually appears as a temporally impulsive event, motion-compensated interframe processing is widely applied for its detection. However, motion-compensated prediction requires a high degree of complexity and can be unreliable when motion estimation fails. Consequently, many techniques using spatial or spatiotemporal filtering without motion were also been proposed as alternatives. A comprehensive survey and evaluation of existing methods is presented, in which both qualitative and quantitative performances are compared in terms of accuracy, robustness, and complexity. After analyzing these algorithms and identifying their limitations, we conclude with guidance in choosing from these algorithms and promising directions for future research.

Item type: Article
ID code: 29262
Keywords: image restoration, image sequences, spatial filters, film dirt detection, Electronic computers. Computer science, Engineering(all), Atomic and Molecular Physics, and Optics
Subjects: Science > Mathematics > Electronic computers. Computer science
Department: Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Pure Administrator
Date Deposited: 16 Nov 2011 14:20
Last modified: 24 Jul 2015 11:25

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