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Optical Engineering

Non-motion-compensated region-based dirt detection for film archive restoration
Author(s): Jinchang Ren; Theodore Vlachos
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Paper Abstract

A novel non-motion-compensated method is proposed for dirt detection in archived film sequences. A confidence measurement extracted from raw differences between current frame and each of the previous and next frames is used to exploit the temporally impulsive nature of dirt impairments. Further evolution of the confidence signal enables the minimization of false alarms and the fine-tuning of detector sensitivity. After morphological filtering and consistency checks candidate regions of dirt emerge, enabling the computation of binary detection masks. Our experiments show that our method compares favorably with extended spike detection index (SDIp), rank order detector (ROD), and lower-upper-middle (LUM) approaches and provides efficient and robust detection performance for a wide range of archived film material.

Paper Details

Date Published: 1 August 2006
PDF: 6 pages
Opt. Eng. 45(8) 087004 doi: 10.1117/1.2338592
Published in: Optical Engineering Volume 45, Issue 8
Show Author Affiliations
Jinchang Ren, Univ. of Surrey (United Kingdom)
Theodore Vlachos, Univ. of Surrey (United Kingdom)


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