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
Nanomedizin – Herausforderung und Perspektiven
Kristina Riehemann,Stefan W. Schneider,Thomas A. Luger,Biana Godin,Mauro Ferrari,Harald Fuchs +5 more
TL;DR: In this paper, ausgewahlte Entwicklungen and Anwendungen der Nanomedizin are besprochen, e.g., neuartige Konzepte fur den gezielten Wirkstofftransport, the Biokompatibilitatsoptimierung and neuroprothetische Anwendingungen.
Journal ArticleDOI
X-ray emission from PSR B1800-21, its wind nebula, and similar systems
TL;DR: In this article, the authors detected X-ray emission from PSR B1800-21 (J1803-2137) and its synchrotron nebula with the Chandra X-Ray Observatory.
Patent
Non-uniform spatial resource allocation for depth mapping
Alexander Shpunt,Zafrir Mor +1 more
TL;DR: In this article, an illumination module is configured to project patterned optical radiation into a volume of interest containing the object, and an image capture module is used to capture an image of the pattern reflected from the object.
Book ChapterDOI
Alternating Minimization Algorithms: From Blahut-Arimoto to Expectation-Maximization
TL;DR: Two closely related algorithms in estimation theory are the expectation-maximization algorithm and the generalized iterative scaling algorithm, each of which can be written as alternating minimization algorithms.
Journal ArticleDOI
OmniFold: A Method to Simultaneously Unfold All Observables.
Anders Andreassen,Anders Andreassen,Anders Andreassen,Patrick T. Komiske,Eric M. Metodiev,Benjamin Philip Nachman,Jesse Thaler +6 more
TL;DR: OmniFold as mentioned in this paper is an unfolding method that iteratively reweights a simulated dataset, using machine learning to capitalize on all available information, and works for arbitrarily high-dimensional data, and naturally incorporates information from the full phase space.
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.