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
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