Proceedings of SPIE - the International Society for Optical Engineering
A multispectral version of an image consisting of multiple wavelet components allows for more flexible feature extraction when compared to the use of one wavelet component. We showed how a multiple-input joint wavelet- transform correlator could be used for multispectral analysis of an input image. For m wavelet scales, m versions of the wavelet and m copies of the input image were generated using conventional optics that are used as inputs to a joint wavelet-transform correlator. The output consisted of 4m-1 correlation results, one of which is the desired output. The space-bandwidth product of the system is the same as for a conventional tow-input joint-transform correlator.
Kozaitis, S. P., Getbehead, M. A., & Foor, W. E. (1997). Multispectral image feature extraction by the joint wavelet-transform correlator. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 3073 322-331.