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Restoring with Maximum Likelihood and Maximum Entropy*

Frieden, B. Roy·1972·Journal of the Optical Society of America

Abstract

Given M sampled image values of an incoherent object, what can be deduced as the most likely object? Using a communication-theory model for the process of image formation, we find that the most likely object has a maximum entropy and is represented by a restoring formula that is positive and not band limited. The derivation is an adaptation to optics of a formulation by Jaynes for unbiased estimates of positive probability functions. The restoring formula is tested, via computer simulation, upon noisy images of objects consisting of random impulses. These are found to be well restored, with resolution often exceeding the Rayleigh limit and with a complete absence of spurious detail. The proviso is that the noise in each image input must not exceed about 40% of the signal image. The restoring method is applied to experimental data consisting of line spectra. Results are consistent with those of the computer simulations.

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Metadata

Authors
Frieden, B. R.
Venue
Journal of the Optical Society of America
Published
1972-04-01
Volume
62
Issue
4
Pages
511
ISSN
0030-3941 (ISSN-L)
OpenAlex
W2078403926
Cited by
638
References
0
FWCI
10.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Restoring with Maximum Likelihood and Maximum Entropy*. https://app.cochat.ai/papers/10.1364/josa.62.000511
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Frieden, B. R. (1972). Restoring with Maximum Likelihood and Maximum Entropy*. Journal of the Optical Society of America. https://doi.org/10.1364/josa.62.000511

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