DocumentCode :
2485559
Title :
A sampling based approach to line scratch removal from motion picture frames
Author :
Morris, Robin D. ; Fitzgerald, William J. ; Kokaram, A.C.
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Sophia Antipolis, France
Volume :
1
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
801
Abstract :
We address the problem of detecting, and subsequently removing, `line scratch´ distortion in motion picture frames. A model for the lines´ interaction with the image data is constructed. A sampling based algorithm based on the reversible jump Markov chain Monte Carlo framework is developed which enables automatic determination of both the unknown number of lines present, together with the lines´ parameters. Previous work has not attempted to automatically determine the number of lines present. Our approach is widely applicable in many object recognition problems, where the number of objects is unknown
Keywords :
Markov processes; Monte Carlo methods; image restoration; image sampling; object recognition; video signal processing; automatic determination; image data; line scratch removal; motion picture frames; object recognition problems; reversible jump Markov chain Monte Carlo framework; sampling based algorithm; sampling based approach; Image motion analysis; Kernel; Monte Carlo methods; Motion detection; Motion pictures; Probability distribution; Proposals; Random variables; Sampling methods; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.559620
Filename :
559620
Link To Document :
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