DocumentCode :
2866692
Title :
A fast algorithm for the restoration of blurred binary images
Author :
Carey, Jo-Anne ; De Jager, Gerhard
Author_Institution :
Dept. of Electr. & Electron. Eng., Cape Town Univ., South Africa
fYear :
1989
fDate :
32682
Firstpage :
91
Lastpage :
92
Abstract :
R.N. Bracewell (1985) has proposed an iterative algorithm for the restoration of blurred binary images. The authors investigate the operation proposed by Bracewell and describe a method by which it can be speeded up. It is shown that the restoration of binary images as proposed by Bracewell can be implemented through the use of a homomorphic-like filter and speeded up by means of a more complex thresholding method. It is possible to reduce the number of iterations required to restore an image by choosing a better threshold than half the maximum value, the value used by Bracewell. Some results of the modified method are compared with those of the original one. It is clear that the modification achieves a more rapid response, but overshoot may limit its usefulness
Keywords :
digital filters; iterative methods; picture processing; Bracewell algorithm; blurred binary images; complex thresholding method; homomorphic-like filter; image restoration; iterations number reduction; Convolution; Filters; Frequency domain analysis; Image converters; Image restoration; Iterative algorithms; Machine vision; Noise reduction; Nonlinear optics; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing, 1989. COMSIG 1989. Proceedings., Southern African Conference on
Conference_Location :
Stellenbosch
Print_ISBN :
0-87942-713-2
Type :
conf
DOI :
10.1109/COMSIG.1989.129023
Filename :
129023
Link To Document :
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