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Proceedings Paper

Multiresolution optical correlation using the wavelet transform
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Paper Abstract

We used the wavelet representation of an image for multiresolution processing. As the resolution of an object was decreased we maintained the signal-to-noise ratio (SNR) at the highest resolution by changing the support region of a binary phase-only filter (BPOF). In this way we were able to decrease the resolution by a factor of four while maintaining the SNR at the full resolution for our test image. Although the SNR remained constant as the resolution decreased, the peak-to- correlation energy decreased. The processing of an object at a lower resolution is significant because it corresponds to processing the same object in a larger image after downsampling. Due to the limited number of pixels in currently available SLMs, multiresolution processing could extend there usefulness.

Paper Details

Date Published: 28 March 1995
PDF: 7 pages
Proc. SPIE 2490, Optical Pattern Recognition VI, (28 March 1995); doi: 10.1117/12.205770
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Rufus H. Cofer, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2490:
Optical Pattern Recognition VI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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