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
Supernova 1987A: a Template to Link Supernovae to Their Remnants
TL;DR: In this article, high-resolution hydrodynamic simulations were used to identify the imprint of supernova 1987A on the X-ray emission of its remnant and constrain the structure of the environment surrounding the SN.
Journal ArticleDOI
Superresolution four-wave mixing microscopy
TL;DR: A superresolution four-wave mixing microscope with spatial resolution approaching 130 nm which represents better than twice the diffraction limit at 800 nm while retaining the ability to acquire materials- and chemical- specific contrast is reported on.
Journal ArticleDOI
Iterative multiframe superresolution algorithms for atmospheric-turbulence-degraded imagery
TL;DR: New multiframe superresolution algorithms are presented that are based on Bayesian maximum a posteriori and maximum-likelihood formulations that are used to demonstrate the superresolution performance of the algorithms.
Journal ArticleDOI
Mapping molecules in scanning far-field fluorescence nanoscopy
Haisen Ta,Jan Keller,Markus Haltmeier,Sinem K. Saka,Jürgen J. Schmied,Felipe Opazo,Philip Tinnefeld,Axel Munk,Stefan W. Hell +8 more
TL;DR: By analysing the simultaneous arrival of multiple photons during confocal imaging, this work can establish the number and local brightness of typically up to 20 molecules per confocal (diffraction sized) recording volume and provides the distribution of the number of molecules with subdiffraction resolution.
Journal ArticleDOI
Image-adaptive deconvolution for three-dimensional deep biological imaging.
TL;DR: This work investigates the approach of cropping an approximate PSF directly from the images, by exploiting the presence of small structures within the samples under study, and finds it to be practical in many cases, allowing significantly better restorations than with a design PSF obtained by imaging fluorescent beads in gel.
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.