Image enhancement using joint transform correlation

Mohammad S. Alam

doi:10.1117/12.304764

23 March 1998 Image enhancement using joint transform correlation

Mohammad S. Alam

Proceedings Volume 3386, Optical Pattern Recognition IX; (1998) https://doi.org/10.1117/12.304764
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Mohammad S. Alam "Image enhancement using joint transform correlation", Proc. SPIE 3386, Optical Pattern Recognition IX, (23 March 1998); https://doi.org/10.1117/12.304764

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