Purdue University
School of Electrical and Computer Engineering
Video and Image Processing Program
EE641 Digital Image Processing II
Course Notes
Introductory Material
Reading List for Course
Introduction
Markov Random Field Short Course Notes
Biomedial Optical Imaging Short Course Notes
1-D Autoregressive Processes
Random Variables and Estimation
Whittening Random Processes
AR Random Processes
Gaussian Random Fields
2-D AR Processes
Noncausal Gaussian Models
Image Restoration
Mixture Distributions and the EM Algorithm
Clustering and the EM Algorithm
EM Algorithm for Exponential Distributions
Markov Chains
Hidden Markov Models and the EM algorithm
Discrete Markov Random Fields
Formal Notes
Discrete MRF Models
viewgraphs,
notes
Simmulation
viewgraphs,
notes
Segmentation using MRF's
viewgraphs,
notes
Continuous Markov Random Fields
Continuous MRF's
and MAP image restoration laboratory results
EM Parameter Estimation for 2-D Image Priors
Tomographic Reconstruction
Interative Image Reconstruction
viewgraphs,
notes