DocumentCode :
2777986
Title :
Film line scratch removal using Kalman filtering and Bayesian restoration
Author :
Joyeux, Laurent ; Boukir, Samia ; Besserer, Bernard
Author_Institution :
Lab. d´´Inf. et d´´Imagerie Ind., Univ. de La Rochelle, France
fYear :
2000
fDate :
2000
Firstpage :
8
Lastpage :
13
Abstract :
A suitable detection/reconstruction approach is proposed for removing line scratches from degraded motion picture films. The detection procedure consists of two steps. First, a simple 1D-extrema detector provides line scratch candidates. Line artifacts persist across several frames. Therefore, to reject false detections, the detected scratches are tracked over the sequence using a Kalman filter. A new Bayesian restoration technique, dealing with both low and high frequencies around and inside the detected artifacts, is investigated to achieve a near invisible restoration of damaged areas
Keywords :
Bayes methods; Kalman filters; cinematography; image restoration; Bayesian restoration; Kalman filtering; invisible restoration; motion picture films; reconstruction; scratch removal; Bayesian methods; Costs; Degradation; Detectors; Filtering; Frequency; Image restoration; Kalman filters; Motion detection; Motion pictures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, 2000, Fifth IEEE Workshop on.
Conference_Location :
Palm Springs, CA
Print_ISBN :
0-7695-0813-8
Type :
conf
DOI :
10.1109/WACV.2000.895396
Filename :
895396
Link To Document :
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