1 August 2006 Non-motion-compensated region-based dirt detection for film archive restoration
Author Affiliations +
Optical Engineering, 45(8), 087004 (2006). doi:10.1117/1.2338592
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.
Jinchang Ren, Theodore Vlachos, "Non-motion-compensated region-based dirt detection for film archive restoration," Optical Engineering 45(8), 087004 (1 August 2006). http://dx.doi.org/10.1117/1.2338592

Binary data

Image filtering

Digital filtering

Optical engineering



Motion estimation


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