Abstract
A multichannel wavelet correlator is proposed and constructed in this paper, which is based on wavelet transform and mechanism of angle multiplexed volume holographic associative storage in a photorefractive crystal. Problems to enhance parallelism and discrimination of the volume holographic image processing system are studied. The cross-talk noise of the system is analyzed by simulation. Our results show that the cross-talk noise is significantly reduced with the wavelet filtering pre- processing. The correlation outputs can expand from one dimension in a conventional system to two dimensions in our system. Parallelism of the system is greatly enhanced. Wavelet transform has also the function of improving discrimination capability of the system. The conventional correlation is replaced by the correlation between main local features of the images extracted by a same desired wavelet filter, which provides a sharp peak with low sidelobes. Furthermore, other advantages of wavelet transform are introduced. Theoretical analysis and experimental results are given to support our conclusions.
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