Imaging Correlography: Experimental Results And Performance Evaluation Based On Signal-To-Noise Ratio Of The Power Spectrum Estimate

Imaging correlography is a technique for obtaining images of laser illuminated objects. The results of a laboratory experiment and a corresponding computer simulation of the imaging technique are presented in this paper. Power spectrum estimates for an imaging target, obtained both in the laboratory and through simulation, are compared with the true spectrum of the target. Differences between the laboratory and simulation results are also discussed. A, theoretical expression for the signal�to�noise ratio (SNR) of the power spectrum estimate applicable to our implementation of the imaging correlography technique is considered. It is illustrated that the SNR expression provides a reasonable means for estimating the recoverable spatial frequency content of a simple target.