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Proceedings Paper

Multiresolution wavelet processing for binary phase-only filters
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Paper Abstract

We used the discrete wavelet transform to approximate an image at a lower resolution in preparation for object recognition using correlation techniques. We cross- correlated the low-resolution image with a similarly processed image containing an object of interest. Then, we synthesized the cross-correlation result to the resolution of original image. Using this approach, we avoided cross- correlating an image multiple times and passing information between levels of an image representation such as an image pyramid. We satisfactorily identified objects at 1/4 resolution using the wavelet representation and binary phase-only filters. We chose wavelets based on their impulse response and found that different wavelet filters gave significantly different autocorrelation peak, and SNR values.

Paper Details

Date Published: 14 June 1996
PDF: 10 pages
Proc. SPIE 2749, Photonic Component Engineering and Applications, (14 June 1996); doi: 10.1117/12.243101
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2749:
Photonic Component Engineering and Applications
Andrew R. Pirich, Editor(s)

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