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dc.contributor.authorKozaitis, S.P.
dc.date.accessioned2017-10-05T17:27:18Z
dc.date.available2017-10-05T17:27:18Z
dc.date.issued1996-07-14
dc.identifier.citationKozaitis, S. P. (1996). Multiresolution wavelet processing for binary phase-only filters. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 2749 165-174.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1769
dc.descriptionAutocorrelation, Binary phase-only filters, Cross-correlation, Multiresolution wavelet processingen_US
dc.description.abstractWe 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleMultiresolution wavelet processing for binary phase-only filtersen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.243101


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