DocumentCode
909122
Title
Deblurring of bilevel waveforms
Author
Joseph, Eugene ; Pavlidis, Theo
Author_Institution
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA
Volume
2
Issue
2
fYear
1993
fDate
4/1/1993 12:00:00 AM
Firstpage
223
Lastpage
235
Abstract
An algorithm for processing closely spaced edges and accurately restoring their locations is presented. The convolution distortion model is based on interacting edges. The restoration algorithm takes three edges as input and forces the effects of two of them to cancel each other. Thus the third edge appears to be isolated and is located using a traditional edge detector. Experiments on bar code waveforms reveal that this approach outperforms the current commercial bar code readers
Keywords
bar codes; edge detection; image reconstruction; bar code waveforms; bilevel waveforms; convolution distortion model; deblurring; edge detector; edge processing algorithm; edge reconstruction; restoration algorithm; Character recognition; Convolution; Detectors; Frequency; Image edge detection; Image reconstruction; Image restoration; Optical character recognition software; Optical distortion; Smoothing methods;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.217225
Filename
217225
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