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
More filters
Journal ArticleDOI
Accelerated weight histogram method for exploring free energy landscapes
TL;DR: The accelerated weight histogram (AWH) method as discussed by the authors is a new ensemble sampling technique which adaptively biases the simulation to promote exploration of the free energy landscape of a biological macromolecule.
Journal ArticleDOI
Multiview Deblurring for 3-D Images from Light-Sheet-Based Fluorescence Microscopy
TL;DR: An algorithm for 3-D multiview deblurring using spatially variant point spread functions (PSFs) using regularized Lucy-Richardson algorithm is proposed and it is shown that this method provides better signal-to-noise ratio and increases the resolution of the reconstructed images.
Journal ArticleDOI
Comparing maximum likelihood estimation and constrained Tikhonov-Miller restoration
TL;DR: The restoration results on the cylindrical objects show, however, that the EM-MLE algorithm has a tendency to reconstruct an image that is sharper and smaller than the original object, so methods to speed up these algorithms should be investigated more fully.
Patent
Image deblurring using a spatial image prior
TL;DR: In this article, a deblurred image was determined by a data processing system, where a sharp image of a scene captured with a short exposure time was compared to a blurred image of the same scene with a longer exposure time than the sharp image.
Journal ArticleDOI
A review of source detection approaches in astronomical images
TL;DR: The main features of the detection algorithms are analysed and the most important techniques are classified into different strategies according to their type of image transformation and their main detection principle.
References
More filters
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.