In Medical Imaging: Image Processing, M.H. Loew, ed., Proc. SPIE 1898, pp. 716-731, 1993

Introduction to Bayesian image analysis

Kenneth M. Hanson
Los Alamos National Laboratory


The basic concepts in the application of Bayesian methods to image analysis are introduced. The Bayesian approach has benefits in image analysis and interpretation because it permits the use of prior knowledge concerning the situation under study. The fundamental ideas are illustrated with a number of examples ranging from a problem in one and two dimensions to large problems in image reconstruction that make use of sophisticated prior information.

Keywords: maximum a posteriori (MAP) reconstruction, Bayesian estimation, warpable prior

Get full paper (pdf, 749 KB)
Return to publication list
Send e-mail to author at