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Multiresolution Binary Optical Correlator Using The Wavelet Transform, Samuel Peter Kozaitis
Multiresolution Binary Optical Correlator Using The Wavelet Transform, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
We used morphological filters to approximate wavelet scaling functions for multiresolution processing of an image. Because some spatial light modulators (SLMs) can only display binary data, wavelet processing of binary images is inhibited. Therefore, we considered an alternative way - morphological processing - to generate a wavelet representation that consists entirely of binary elements. The effects of these filters are dependent on the input signal and cannot be generalized. Therefore, we used a statistical approach to approximate the scaling functions or various wavelets using morphological filters. ©2005 Copyright SPIE - The International Society for Optical Engineering.