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Journal ArticleDOI

Bayesian-Based Iterative Method of Image Restoration

TLDR
An iterative method of restoring degraded images was developed by treating images, point spread functions, and degraded images as probability-frequency functions and by applying Bayes’s theorem.
Abstract
An iterative method of restoring degraded images was developed by treating images, point spread functions, and degraded images as probability-frequency functions and by applying Bayes’s theorem. The method functions effectively in the presence of noise and is adaptable to computer operation.

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Citations
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Journal ArticleDOI

Current Research into Applications of Tomography for Fusion Diagnostics

TL;DR: In this article, the current tomography methods under development (Tikhonov regularisation, Bayesian methods and neural networks) are briefly explained taking into account their potential for integration into the fusion reactor diagnostics.
Journal ArticleDOI

Time-frequency representations of autoionization dynamics in helium

TL;DR: In this paper, an energy-resolved interferometric technique was used to measure the spectral amplitude and phase of ionized wavepackets emitted via the sp2+ and sp3+ resonances in helium.
Book ChapterDOI

Quantitative Convergent Beam Electron Diffraction

TL;DR: In this article, the authors introduced quantitative convergent-beam electron diffraction from quantitative X-ray diffraction intensity recording to quantitative structural retrieval, which can be obtained from experimental diffraction intensities by optimization of structural parameters in a theoretical model.
Journal ArticleDOI

Flash light detection and ranging range accuracy limits for returns from single opaque surfaces via Cramer-Rao bounds

TL;DR: A Cramer-Rao lower bound on the range accuracy obtainable by a Flash light detection and ranging (LADAR) system receiving a return from a single surface in the instantaneous field of view of each detector is developed and verified with experimental data.
References
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Book

Modern probability theory and its applications

TL;DR: Probability Theory as the study of Mathematical Models of Random Phenomena as mentioned in this paper is a generalization of probability theory for the study and analysis of statistical models of random variables.
Journal ArticleDOI

Image Evaluation and Restoration

TL;DR: The extent to which the processing approaches the optimum can be evaluated by determining the fraction of the total information content of the image which can be visually extracted after processing.
Journal ArticleDOI

Restoration of Turbulence-Degraded Images*

TL;DR: In this paper, the amplitude and phase coefficients of the two-dimensional Fourier series representing the degraded images were corrected by applying corrections to the optical transfer function of the turbulence measured at the time the images were photographed.
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