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Optical Engineering

Missing-data recovery from dirt sparkles on degraded color films
Author(s): Jinchang Ren; Theodore Vlachos
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Paper Abstract

A novel spatiotemporal method is proposed for detection of and recovery from dirt sparkles on degraded color films. Firstly, a confidence measurement of dirt is extracted by comparing pixel values per color component after global motion compensation. Then, candidate dirt is detected by filtering and thresholding this confidence measurement. For each candidate region of dirt, bidirectional local motion compensation is employed, and motion-compensated pixels are selected according to their confidence values, using an improved ML3Dex filter to preserve details and avoid oversmoothing of images. Experiments on real data demonstrate that our method outperforms several well-established algorithms in accuracy, efficiency, and robustness.

Paper Details

Date Published: 1 July 2007
PDF: 6 pages
Opt. Eng. 46(7) 077001 doi: 10.1117/1.2751162
Published in: Optical Engineering Volume 46, Issue 7
Show Author Affiliations
Jinchang Ren, Univ. of Surrey (United Kingdom)
Theodore Vlachos, Univ. of Surrey (United Kingdom)

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