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Proceedings Paper

Characterization of harmonic wavelet joint transform (HWJT) in image de-noising
Author(s): Md Abdur Razzaque; Khan M. Iftekharuddin
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Paper Abstract

Harmonic Wavelet Joint Transform (HWJT) has recently been proposed for automatic target recognition applications. The preliminary study shows improved noise tolerance for HWJT. In this paper, we investigate the application of JHWT in image de-noising. De-noising characteristics of this HWJTC have been studied and noise removal performances are demonstrated using HWJT correlator model for clutter image. To benchmark its performance, we compare its performance with the performances of well-established image de-noising techniques, such as Wavelet Packet. The image used for our simulation is a Synthetic Aperture Radar image from DARPA Moving and Stationary Target Recognition Program with angle of depression of 15 degree(s). Simulation results are presented to validate the performance of the proposed technique.

Paper Details

Date Published: 31 March 2000
PDF: 9 pages
Proc. SPIE 4043, Optical Pattern Recognition XI, (31 March 2000); doi: 10.1117/12.381587
Show Author Affiliations
Md Abdur Razzaque, North Dakota State Univ. (United States)
Khan M. Iftekharuddin, North Dakota State Univ. (United States)


Published in SPIE Proceedings Vol. 4043:
Optical Pattern Recognition XI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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