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
Adaptive Landweber method to deblur images
Lei Liang,Yuanchang Xu +1 more
TL;DR: The adaptive Landweber method (ALM) to reconstruct an image from a blurred observation has a higher convergence rate and lower MSE and mean absolute error than the standard LM and emphasizes speed at the beginning stages and stability at late stages of iteration.
Journal ArticleDOI
Parametric deconvolution of positive spike trains
Lei M. Li,Terence P. Speed +1 more
TL;DR: In this paper, a parametric deconvolution method (PDPS) was proposed for a particular class of signals called spike-convolution models, which arise when a sparse spike train-Dirac deltas is convolved with a fixed point-spread function, and additive noise or measurement error is superimposed.
Journal ArticleDOI
Richardson-Lucy/maximum likelihood image restoration algorithm for fluorescence microscopy: further testing.
Timothy J. Holmes,Yi-Hwa Liu +1 more
TL;DR: Simulation testing of the maximum likelihood based iterative algorithm adapted from nuclear medicine imaging for noncoherent optical imaging and results of a simulation in restoring missing-cone information for 3-D imaging show the feasibility of using these methods with real systems.
Journal ArticleDOI
X-ray Evolution of SNR 1987A: The Radial Expansion
Judith Racusin,Sangwook Park,Svetozar A. Zhekov,Svetozar A. Zhekov,David N. Burrows,Gordon P. Garmire,Richard McCray +6 more
TL;DR: In this paper, the evolution of the radial expansion of SNR 1987A as measured using Chandra X-ray observations taken over the last 10 years was analyzed using several empirical models, including a simple circular torus, a torus with bilateral lobes, and four tangentially extended lobes.
Journal ArticleDOI
Impact of Partial-Volume Effect Correction on the Predictive and Prognostic Value of Baseline 18F-FDG PET Images in Esophageal Cancer
TL;DR: Investigation of the clinical impact of partial-volume effect (PVE) correction on the predictive and prognostic value of metabolically active tumor volume (MATV) measurements on 18F-FDG PET baseline scans for therapy response and overall survival in esophageal cancer patients concluded that PVE correction does not improve the predictive or prognosticvalue of baseline PET image–derived parameters in esophileal cancer Patients.
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.
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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.