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
A guide to accurate reporting in digital image processing - can anyone reproduce your quantitative analysis?
Jesse Aaron,Teng-Leong Chew +1 more
TL;DR: In this paper, the authors discuss how proper reporting of image processing methodology improves scientific reproducibility and strengthens the biological conclusions derived from the results of an image processing workflow, and illustrate the importance of proper reporting and documentation of microscopy relevant details.
Journal ArticleDOI
Deconvolution using CLEAN-SC for acoustic source identification with spherical microphone arrays
TL;DR: This study provides an alternative approach for acoustic source identification in three-dimensional space with better convergence, higher computational efficiency, and stronger robustness to interference such as background noise and frequency response mismatch of microphone and measurement channel.
Journal ArticleDOI
A New Level-Set-Based Protocol for Accurate Bone Segmentation From CT Imaging
TL;DR: A new medical image segmentation pipeline for accurate bone segmentation from computed tomography (CT) imaging is proposed in this paper, a two-step methodology, with a pre-segmentation step and a segmentation refinement step, as follows.
Journal ArticleDOI
Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades
TL;DR: This paper investigates methods from the perspective of similarity diffusion, and proposes a clustering-like pattern across similarity cascades (SCs), a series of subgraphs generated by truncating a similarity graph with a set of thresholds, and then maximal cliques are used to capture topics.
Journal ArticleDOI
Chandra Resolves the T Tauri Binary System RW Aur
Stephen L. Skinner,Manuel Güdel +1 more
TL;DR: In this article, the authors present results of a sensitive Chandra observation whose primary objective was to search for evidence of soft extended X-ray emission along the jet, as has been seen for a few other nearby T Tauri stars.
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.