DocumentCode
2037649
Title
Fast Blotch Detection Algorithm for Degraded Film Sequences Based on MRF Models
Author
Nam, Sang-Churl ; Abe, Masahide ; Kawamata, Masayuki
Author_Institution
Tohoku Univ., Sendai
Volume
3
fYear
2007
fDate
Sept. 16 2007-Oct. 19 2007
Abstract
This paper proposes a fast blotch detection algorithm based on a Markov random field (MRF) model with less computational load and with lower false alarm rate than the existing MRF-based algorithms. The proposed algorithm can save the computational time for detecting the blotches by restricting the attention of the detection process only to the candidate areas. The experimental results show that our proposed method provides the computational simplicity and an efficient detecting performance for the blotches.
Keywords
Markov processes; image sequences; random processes; Markov random field model; degraded film sequences; false alarm rate; fast blotch detection algorithm; Computational efficiency; Degradation; Detection algorithms; Detectors; Image restoration; Markov random fields; Maximum likelihood detection; Motion detection; Object detection; Spatial coherence; Image restoration; image processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1522-4880
Print_ISBN
978-1-4244-1437-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2007.4379371
Filename
4379371
Link To Document