Multiresolution wavelet processing for binary phase-only filters

Samuel Peter Kozaitis

doi:10.1117/12.243101

14 June 1996 Multiresolution wavelet processing for binary phase-only filters

Samuel Peter Kozaitis

Proceedings Volume 2749, Photonic Component Engineering and Applications; (1996) https://doi.org/10.1117/12.243101
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Samuel Peter Kozaitis "Multiresolution wavelet processing for binary phase-only filters", Proc. SPIE 2749, Photonic Component Engineering and Applications, (14 June 1996); https://doi.org/10.1117/12.243101

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