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
fDate :
4/1/1993 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
