DocumentCode :
2632613
Title :
Image restoration using optical correlation
Author :
Alam, Mohammad S.
Author_Institution :
Dept. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
1998
fDate :
13-17 Jul 1998
Firstpage :
575
Lastpage :
582
Abstract :
An efficient technique for restoring the original from a blurred image using the concept of fringe-adjusted joint transform. Correlation is proposed. This technique employs Fourier plane apodization using the reference image power spectrum to deblur the distorted image. The performance of the proposed technique has been enhanced significantly by employing the Fourier plane image subtraction especially for noisy input scenes involving multiple objects. The image subtraction technique eliminates the unwanted zero-order term and crosscorrelation terms produced by similar input scene objects while alleviating the effect of noise that may be present in the unknown input scene. Computer simulation results using noise-free and noise corrupted input scenes are presented to verify the performance of the proposed technique
Keywords :
Fourier transform optics; digital simulation; image restoration; optical correlation; optical noise; Fourier plane apodization; Fourier plane image subtraction; blurred image; computer simulation; crosscorrelation terms; distorted image; effect of noise; fringe-adjusted joint transform; image restoration; image subtraction; multiple objects; noise corrupted input scenes; noise-free input scenes; noisy input scenes; optical correlation; reference image power spectrum; zero-order term; Application software; Computer simulation; Image restoration; Layout; Noise level; Nonlinear distortion; Nonlinear optics; Optical distortion; Optical filters; Optical noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, 1998. NAECON 1998. Proceedings of the IEEE 1998 National
Conference_Location :
Dayton, OH
ISSN :
0547-3578
Print_ISBN :
0-7803-4449-9
Type :
conf
DOI :
10.1109/NAECON.1998.710208
Filename :
710208
Link To Document :
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