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
Training Very Deep CNNs for General Non-Blind Deconvolution
Ruxin Wang,Dacheng Tao +1 more
TL;DR: A very deep convolutional neural network is proposed that predicts the residual between a pre-deconvolved image and thesharp image rather than the sharp image, encouraging high effectiveness and efficiency.
Journal ArticleDOI
Airborne LiDAR: state-of-the-art of system design, technology and application
Journal ArticleDOI
Measuring liquid film thickness in annular two-phase flows by cold neutron imaging
TL;DR: An overview of a measurement method for liquid film thickness in annular flows based on cold neutron imaging is given in this article, and its performance, regarding bias, statistical accuracy, upper and lower detection limits, has been thoroughly quantified using computational tools and measurement results.
Journal ArticleDOI
Numerical Methods for Parameter Estimation in Poisson Data Inversion
TL;DR: This paper proposes a secant-based method for solving the discrepancy equation arising in the first approach and proposes a root-finding algorithm that can be combined with an efficient solver of the inner minimization problems, which can be competitive and sometimes faster than the second one.
Journal ArticleDOI
Formation channels of slowly rotating early-type galaxies.
Davor Krajnović,Ugur Ural,Harald Kuntschner,Paul Goudfrooij,M. A. Wolfe,Michele Cappellari,Roger L. Davies,P. T. de Zeeuw,Pierre-Alain Duc,Eric Emsellem,A. M. Karick,Richard M. McDermid,Simona Mei,Thorsten Naab +13 more
TL;DR: In this article, the authors analyzed the nuclear surface brightness profiles of 12 newly imaged slow rotators, and classified their light profiles as core-less, and placed an upper limit to the core size of ~10 pc.
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.