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.read more
Citations
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Journal ArticleDOI
Fast Approximations of Shift-Variant Blur
TL;DR: Comparison of theoretical properties and empirical performances of each blur approximation suggests that the proposed general model is preferable for approximation and inversion of a known shift-variant blur.
Journal ArticleDOI
Neutron source reconstruction from pinhole imaging at National Ignition Facility
Petr Volegov,Christopher Danly,David N. Fittinghoff,Gary Grim,N. Guler,Nobuhiko Izumi,Tammy Ma,Frank E. Merrill,A. L. Warrick,Carl Wilde,Doug Wilson +10 more
TL;DR: This work has used iterative Maximum Likelihood techniques to remove the non-stationary distortions introduced by the aperture to reconstruct the underlying neutron source distributions, and presents the detailed algorithms used for these reconstructions.
Journal ArticleDOI
A Nonnegatively Constrained Convex Programming Method for Image Reconstruction
TL;DR: A cost functional which incorporates the statistics of the noise in the image data and Tikhonov regularization to induce stability is developed and an efficient hybrid gradient projection-reduced Newton (active set) method is introduced.
Journal ArticleDOI
Evidence of a Supermassive Black Hole in the Galaxy NGC 1023 From The Nuclear Stellar Dynamics
G. A. Bower,Richard F. Green,Ralf Bender,Karl Gebhardt,Tod R. Lauer,John Magorrian,Douglas O. Richstone,Anthony C. Danks,T. R. Gull,J. B. Hutchings,Charles L. Joseph,Mary Elizabeth Kaiser,D. Weistrop,Bruce E. Woodgate,Charles H. Nelson,E. M. Malumuth +15 more
TL;DR: In this paper, the authors analyzed the nuclear stellar dynamics of the SBO galaxy NGC 1023, utilizing observational data both from the Space Telescope Imaging Spectrograph aboard the Hubble Space Telescope and from the ground.
Book ChapterDOI
Image Enhancement by Deconvolution
TL;DR: This chapter focuses on practical ways of assessing microscope performance and getting the best possible data before applying more sophisticated image processing methods than are usually seen in the literature.
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.