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Proceedings Paper

Image enhancement using joint transform correlation
Author(s): Mohammad S. Alam
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Paper Abstract

An efficient technique for restoring the original from a blurred noise corrupted image using the concept of fringe- adjusted joint transform correlation is proposed. This technique employs Fourier plane apodization using the reference image power spectrum and noise power spectrum to suppress the effects of blur as well as input scene noise. The performance of the proposed technique has been enhanced significantly by employing the Fourier plane image subtraction especially for blurred noisy input scenes involving multiple identical objects. The image subtraction technique eliminates the unwanted zero-order term and crosscorrelation terms produced by similar input scene objects while alleviating the detrimental effects of blur and noise that may be present in the unknown input scene. Computer simulation results using blurred noise corrupted grey level input scenes are presented to verify the performance of the proposed technique.

Paper Details

Date Published: 23 March 1998
PDF: 12 pages
Proc. SPIE 3386, Optical Pattern Recognition IX, (23 March 1998); doi: 10.1117/12.304764
Show Author Affiliations
Mohammad S. Alam, Purdue Univ. and Indiana Univ. (United States)


Published in SPIE Proceedings Vol. 3386:
Optical Pattern Recognition IX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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