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
Richardson-Lucy algorithm with total variation regularization for 3D confocal microscope deconvolution.
Nicolas Dey,Laure Blanc-Féraud,Christophe Zimmer,Pascal Roux,Zvi Kam,Jean-Christophe Olivo-Marin,Josiane Zerubia +6 more
TL;DR: This work proposes to combine the Richardson–Lucy algorithm with a regularization constraint based on Total Variation, which suppresses unstable oscillations while preserving object edges and shows that this constraint improves the deconvolution results as compared with the unregularized Richardson– Lucy algorithm, both visually and quantitatively.
Journal ArticleDOI
Spherical nanosized focal spot unravels the interior of cells
Roman Schmidt,Christian A. Wurm,Stefan Jakobs,Johann Engelhardt,Alexander Egner,Stefan W. Hell +5 more
TL;DR: A fluorescence microscope that creates nearly spherical focal spots of 40–45 nm (λ/16) in diameter is introduced, which unravels the interior of cells noninvasively, uniquely dissecting their sub-λ–sized organelles.
Journal ArticleDOI
Acceleration of iterative image restoration algorithms.
David S. C. Biggs,Mark Andrews +1 more
TL;DR: A new technique for the acceleration of iterative image restoration algorithms based on the principles of vector extrapolation and does not require the minimization of a cost function is proposed.
Journal ArticleDOI
Size–strain line-broadening analysis of the ceria round-robin sample
Davor Balzar,Davor Balzar,N. Audebrand,Mark R. Daymond,Andrew N. Fitch,A.W. Hewat,J. I. Langford,A. Le Bail,Daniel Louër,O. Masson,C.N. McCowan,N. C. Popa,Peter W. Stephens,Brian H. Toby +13 more
TL;DR: The results of both a line-broadening study on a ceria sample and a size-strain round robin on diffraction line broadening methods, which was sponsored by the Commission on Powder Diffraction of the International Union of Crystallography, are presented in this paper.
Journal ArticleDOI
Axisymmetric Dynamical Models of the Central Regions of Galaxies
Karl Gebhardt,Douglas O. Richstone,Scott Tremaine,Tod R. Lauer,Ralf Bender,Gary Bower,Alan Dressler,Sandra M. Faber,Alexei V. Filippenko,Richard F. Green,Carl J. Grillmair,Luis C. Ho,John Kormendy,John Magorrian,Jason Pinkney +14 more
TL;DR: In this paper, the authors presented axisymmetric, orbit superposition models for 12 galaxies using data taken with the Hubble Space Telescope (HST) and ground-based observatories.
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.