Error-diffusion binarization for joint transform correlators.
It is shown that the error-diffusion method is advantageous in the production of a binarized power spectrum interference pattern in joint transform image correlator (JTC) configurations, leading to better definition of the correlation location. A modified error-diffusion method for JTC configurations described here is effective also for cases involving noisy correlation planes. A computer-simulation comparison of correlation-peak quality, also in the presence of additive white noise, was carried out by using several performance criteria. The classical continuous JTC was compared with a binarized JTC, whereby the binarization method for a normalized and nonlinearly scaled Fourier-transform interference intensity pattern was based on either error-diffusion or hard-clipping techniques that used a constant threshold value. The suggested operations of normalization and nonlinear scaling are essentially equivalent to truncation and normalization. The error-diffusion binary JTC yields autocorrelation characteristics that are superior to those of the hard-clipping binary JTC over the whole nonlinear scaling range of the Fourier-transform interference intensity for all noise levels considered. The binary JTC, binarized in either the error-diffusion or the hard-clipping binarization method, is superior to the classical continuous JTC over a certain nonlinear scaling range and up to a specific level of additive-input white noise. In addition, the binarized cross-correlation JTC selectivity is generally better than that of the continuous JTC, especially when high levels of additive-input white noise are present. Preliminary experimental results, which can be obtained in real time by using a single spatial light-modulator, are presented.
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Mendlovic
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Marom
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