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Proceedings Paper

Noise immunity and pattern discrimination using wavelet feature-based generalized fringe-adjusted joint transform correlator
Author(s): Renu Tripathi; G. S. Pati; Kehar Singh
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Paper Abstract

A wavelet feature-based generalized FAJTC has been proposed to improve the performance of fringe-adjusted type JTCs in the presence of noise in the input scene. Computer simulation results are produced for test images containing single as well as multiple targets and synthetic textured input scene noise. The results illustrate the effectiveness of wavelet processing in reducing the detrimental effect of noise and enhancing pattern discrimination ability of conventional generalized FAJTCs.

Paper Details

Date Published: 29 April 1999
PDF: 6 pages
Proc. SPIE 3729, Selected Papers from International Conference on Optics and Optoelectronics '98, (29 April 1999); doi: 10.1117/12.346795
Show Author Affiliations
Renu Tripathi, Indian Institute of Technology/Delhi (India)
G. S. Pati, Indian Institute of Technology/Delhi (India)
Kehar Singh, Indian Institute of Technology/Delhi (India)

Published in SPIE Proceedings Vol. 3729:
Selected Papers from International Conference on Optics and Optoelectronics '98
Kehar Singh; Om Prakash Nijhawan; Arun Kumar Gupta; A. K. Musla, Editor(s)

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