Multiresolution optical correlation using the wavelet transform

Samuel Peter Kozaitis; Rufus H. Cofer

doi:10.1117/12.205770

28 March 1995 Multiresolution optical correlation using the wavelet transform

Samuel Peter Kozaitis; Rufus H. Cofer

Author Affiliations +

Proceedings Volume 2490, Optical Pattern Recognition VI; (1995) https://doi.org/10.1117/12.205770
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Samuel Peter Kozaitis, Rufus H. Cofer, "Multiresolution optical correlation using the wavelet transform", Proc. SPIE 2490, Optical Pattern Recognition VI, (28 March 1995); doi: 10.1117/12.205770; https://doi.org/10.1117/12.205770

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