Effect of Dynamic Range Input Image on Performance of Binary Subtracted Joint Transform Correlator

Abstract

A demand for the dynamic range of input images in the binary subtracted joint transform correlator was studied by computer simulations using input scenes containing multiple halftone images of human faces. To realize good discriminability the correlator requires use of an image-conversion subsystem with a dynamic range larger than 50:1 and 16:1 in amplitude for input scenes having (1) a reference image and many target images and (2) a target image and many reference images, respectively.