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
Markov random field and Gaussian mixture for segmented MRI-based partial volume correction in PET
Alexandre Bousse,Stefano Pedemonte,Benjamin A. Thomas,Kjell Erlandsson,Sebastien Ourselin,Simon R. Arridge,Brian Hutton +6 more
TL;DR: The proposed segmented magnetic resonance imaging prior-based maximum penalized likelihood deconvolution technique for positron emission tomography (PET) images outperforms the VC algorithm and outperforms SG and RBV corrections when the segmented MRI is inconsistent.
Journal ArticleDOI
Dual-color 4Pi-confocal microscopy with 3D-resolution in the 100 nm range.
TL;DR: The synergistic combination of dual-color 4Pi-confocal recording with image restoration results in dual- color imaging with a 3D resolution in the 100 nm range.
Journal ArticleDOI
Reflection-mode Bessel-beam photoacoustic microscopy for in vivo imaging of cerebral capillaries.
TL;DR: The cerebral vasculature of an open-skull mouse is imaged using the developed BB-Pam to demonstrate its in vivo imaging capability and advantages over GB-PAM.
Journal Article
Dictionary Learning for Deblurring and Digital Zoom
TL;DR: In this paper, a sparse local model of image appearance is proposed for image deblurring and digital zoom, where small image patches are represented as linear combinations of a few elements drawn from some large set (dictionary) of candidates.
Journal ArticleDOI
A massive protostar forming by ordered collapse of a dense, massive core
Yichen Zhang,Jonathan C. Tan,James M. De Buizer,Göran Sandell,Maria T. Beltrán,Ed Churchwell,Christopher F. McKee,Ralph Y. Shuping,Jan E. Staff,Charles M. Telesco,Barbara A. Whitney +10 more
TL;DR: In this paper, the authors present 30 and 40 μm imaging of the massive protostar G35 and combine these results with fluxes from the near-infrared to mm to construct a spectral energy distribution (SED).
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.