Abstract

An optimal filtering approach is taken to the problem of detecting and enhancing a photographic image immersed in background or noise. The minimum mean square error criterion is shown to be not relevant to the optical employment of the Wiener filter. It is shown theoretically and demonstrated by simulation that, even without information about the background, a knowledge of the target spectrum alone makes it possible to find and display such a target without distortion while eliminating all uncorrelated background, despite the fact that target and background spectra actually overlap, and virtually without regard to noise level.

© 1981 Optical Society of America

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