DocumentCode :
1763778
Title :
FAIR: A Fast Algorithm for Document Image Restoration
Author :
Lelore, T. ; Bouchara, F.
Author_Institution :
LSIS Lab., Southern Univ. of Toulon-Var, La Garde, France
Volume :
35
Issue :
8
fYear :
2013
fDate :
Aug. 2013
Firstpage :
2039
Lastpage :
2048
Abstract :
We present, in this paper, the FAIR algorithm: a fast algorithm for document image restoration. This algorithm has been submitted to different contests where it showed good performance in comparison to the state of the art. In addition, this method is scale invariant and fast enough to be used in real-time applications. The method is based on a double-threshold edge detection approach that makes it possible to detect small details while remaining robust against noise. The performance of the proposition is evaluated on several types of degraded document images where considerable background noise or variation in contrast and illumination exist.
Keywords :
document image processing; edge detection; image restoration; transforms; FAIR algorithm; degraded document images; document image restoration; double-threshold edge detection approach; real-time applications; scale invariant method; Algorithm design and analysis; Computational modeling; Estimation; Image edge detection; Labeling; Noise; Robustness; Image enhancement; image edge detection; image processing; image restoration; image segmentation;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2013.63
Filename :
6482566
Link To Document :
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