Bayesian Texture and Instrument Parameter Estimation From Blurred and Noisy Images Using MCMC

This letter addresses an estimation problem based on blurred and noisy observations of textured images. The goal is jointly estimating the 1) image model parameters, 2) parametric point spread function (semi-blind deconvolution) and 3) signal and noise levels. It is an intricate problem due to the d...

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Veröffentlicht in:	IEEE signal processing letters 2014-06, Vol.21 (6), p.707-711
Hauptverfasser:	Vacar, Cornelia, Giovannelli, Jean-Francois, Berthoumieu, Yannick
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Bayes Blurred Computer Science Deconvolution Discrete Fourier transforms Engineering Sciences Estimation Mathematical models myopic deconvolution Noise level Nonlinearity Optimization parameter estimation sampling Signal and Image Processing Signal to noise ratio Strategy Surface layer Texture
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