An MCMC Approach to Bayesian Image Analysis in Fourier Space

Bayesian image analysis methods are commonly applied to solve image analysis problems such as noise reduction, feature enhancement, and object detection. A primary limitation of these methods is their computational cost due to the complex joint interdependencies between pixels, which limits the effi...

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Bibliographic Details

Published in:	Data Science in Science
Main Authors:	Konstantinos Bakas, John Kornak, Hernando Ombao
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2025-12-01
Subjects:	Bayesian image analysis Markov chain Monte Carlo k-space statistical image analysis
Online Access:	https://www.tandfonline.com/doi/10.1080/26941899.2025.2452603