Characterization of Harmonic Wavelet Joint Transform (HWJT) in image de-noising

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 (WP). The image used for our simulation is a Synthetic Aperture Radar (SAR) image from DARPA Moving and Stationary Target Recognition Program (MSTAR) with angle of depression of 15 degrees. Simulation results are presented to validate the performance of the proposed technique.