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Optical Engineering

Detection of dirt impairments from archived film sequences: survey and evaluations
Author(s): Jinchang Ren; Theodore Vlachos
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Paper Abstract

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.

Paper Details

Date Published: 1 June 2010
PDF: 12 pages
Opt. Eng. 49(6) 067005 doi: 10.1117/1.3456633
Published in: Optical Engineering Volume 49, Issue 6
Show Author Affiliations
Jinchang Ren, Univ. of Bradford (United Kingdom)
Theodore Vlachos, Ionian Univ. (Greece)

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