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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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Distributed Fiber Sensors in River Embankments: Advancing and Implementing the Brillouin Optical Frequency Domain Analysis

Nils Nöther
TL;DR: In this article, the authors present an overview of the evolution of the Brillouin-Frequenzbereichsanalyse (BOFDA) in optischen Glasfasern.
Journal ArticleDOI

ASKI: full-sky lensing map-making algorithms

TL;DR: In this article, the edge-preserving nonlinear algorithm ASKI (All-Sky κ Inversion) is presented to recover the optimal full-sky convergence map from noisy surveys with masks.
Journal ArticleDOI

Imaging with LINC-NIRVANA, the Fizeau interferometer of the Large Binocular Telescope: state of the art and open problems

TL;DR: In this article, a review of image reconstruction for the Large Binocular Telescope (LN) is presented, with a discussion of the main features of the LN and of the interferometer, and the approximations introduced in its formulation.
Journal ArticleDOI

Quantifying Nanoparticle Internalization Using a High Throughput Internalization Assay

TL;DR: This study demonstrates the assay can be used to probe the kinetics of nanoparticle internalization and the mechanisms by which the nanoparticles are taken up by cells, fundamental for engineering more effective nanoparticle delivery systems.
Patent

Coded aperture camera with adaptive image processing

TL;DR: In this article, an image capture device is used to identify object range information, and the method consists of dividing the digital image into a set of blocks, assigning a point spread function (psf) value to each of the blocks, combining contiguous blocks in accordance with their psf values, producing a setof blur parameters based upon the psf value of the combined blocks and the remaining blocks, and using the set of deblurred images to determine the range information for the objects in the scene.
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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