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
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Book ChapterDOI
Light Microscopic Images Reconstructed by Maximum Likelihood Deconvolution
Timothy J. Holmes,Timothy J. Holmes,Santosh Bhattacharyya,Joshua Cooper,David K. Hanzel,Vijaykumar Krishnamurthi,Wen-Chieh Lin,Wen-Chieh Lin,Badrinath Roysam,Badrinath Roysam,Donald H. Szarowski,James N. Turner,James N. Turner +12 more
TL;DR: The main purpose of this chapter is to introduce the reader to the methodology of maximum likelihood (ML)-based deblurring algorithms, aimed at the interdisciplinary scientist who needs to understand the main principles behind the algorithms used.
Journal ArticleDOI
Penalized maximum likelihood image restoration with positivity constraints:multiplicative algorithms
TL;DR: A general method to devise maximum likelihood penalized (regularized) algorithms with positivity constraints is proposed and it is shown that the 'prior' image is a key point in the regularization and that the best results are obtained with Tikhonov regularization with a Laplacian operator.
Journal ArticleDOI
Mitochondrial Cristae Revealed with Focused Light
TL;DR: Realizing a approximately 30 nm isotropic subdiffraction resolution in isoSTED fluorescence nanoscopy, this work visualizes essential structures in the mitochondria of intact cells and finds a pronounced heterogeneity in the cristae arrangements even within individual mitochondrial tubules.
Journal ArticleDOI
High Spatial Resolution Imaging of NGC 1068 in the Mid-Infrared
James J. Bock,James J. Bock,G. Neugebauer,Keith Matthews,B. T. Soifer,E. E. Becklin,Michael E. Ressler,K. A. Marsh,Michael W. Werner,E. Egami,Roger Blandford +10 more
TL;DR: In this paper, mid-infrared observations of the central source of NGC 1068 have been obtained with a spatial resolution in the deconvolved image of 0.1 pc.
Journal ArticleDOI
Spatially coupled inversion of spectro-polarimetric image data - I. Method and first results
TL;DR: In this article, a data reduction method that takes the image degradation effects that are present in the data into account and minimizes the resulting errors is developed, while simultaneously requiring fewer free parameters than conventional approaches.
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.