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Proceedings Paper

Two-dimensional image analysis using the wavelet transform
Author(s): Charles R. Thompson; Brian DeFacio
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Paper Abstract

The wavelet transform is used to give a phase-space approach to the study of two-dimensional images. The compression of the Daubechies - 4 (D4) wavelet is studied and a new hybrid wavelet-linear interpolation method is shown to enhance the compression of reconstructions. Computer generated white noise is added and two methods of image enhancement, which are based on the discrete wavelet transform, are used to improve resolution and sensitivity of the noisy images. The frequency scales in phase-space dominate both the 'contrast' and the edge detection behaviors of the images.

Paper Details

Date Published: 29 December 1992
PDF: 11 pages
Proc. SPIE 1767, Inverse Problems in Scattering and Imaging, (29 December 1992); doi: 10.1117/12.139007
Show Author Affiliations
Charles R. Thompson, Air Force Armstrong Lab. (United States)
Brian DeFacio, Univ. of Missouri/Columbia (United States)

Published in SPIE Proceedings Vol. 1767:
Inverse Problems in Scattering and Imaging
Michael A. Fiddy, Editor(s)

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