On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach

Image sequence restoration has been steadily gaining in importance with the increasing prevalence of visual digital media. The demand for content increases the pressure on archives to automate their restoration activities for preservation of the cultural heritage that they hold. There are many defec...

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Veröffentlicht in:IEEE transactions on image processing 2004-03, Vol.13 (3), p.397-415
1. Verfasser: Kokaram, A.C.
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description Image sequence restoration has been steadily gaining in importance with the increasing prevalence of visual digital media. The demand for content increases the pressure on archives to automate their restoration activities for preservation of the cultural heritage that they hold. There are many defects that affect archived visual material and one central issue is that of dirt and sparkle, or "blotches". Research in archive restoration has been conducted for more than a decade and this paper places that material in context to highlight the advances made during that time. The paper also presents a new and simpler Bayesian framework that achieves joint processing of noise, missing data, and occlusion.
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subjects Algorithms
Anthropology, Cultural - methods
Archives
Automation
Bayes Theorem
Bayesian analysis
Bayesian methods
Conducting materials
Cultural differences
Degradation
Digital video broadcasting
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
Image restoration
Image sampling
Information Storage and Retrieval - methods
Missing data
Models, Statistical
Noise reduction
Pattern Recognition, Automated
Photography - methods
Production
Quality Control
Reproducibility of Results
Restoration
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Signal restoration
Subtraction Technique
Video Recording - methods
Visual
title On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach
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