Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography | Zendy

Hacheme Ayasso | Zendy; Bernard Duchêne | Zendy; Ali MohammadDjafari | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography

Author(s) -

Hacheme Ayasso,

Bernard Duchêne,

Ali MohammadDjafari

Publication year - 2011

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.872317

Subject(s) - maximum a posteriori estimation , a priori and a posteriori , prior probability , gibbs sampling , inverse problem , algorithm , computer science , bayesian probability , diffraction , gauss , inverse scattering problem , markov process , parallel tempering , mathematics , mathematical optimization , markov chain monte carlo , artificial intelligence , physics , statistics , mathematical analysis , optics , hybrid monte carlo , maximum likelihood , philosophy , epistemology , quantum mechanics

International audienc

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research