Purdue University
School of Electrical and Computer Engineering
Video and Image Processing Program
EE641 Digital Image Processing II
Course Notes
Supplementary Material
Model Based Image Processing (Text)
Reading List for Course
Markov Random Field Short Course Notes
Biomedial Optical Imaging Short Course Notes
Part I
and
Part II
Class Demos
Introduction to Probability, Estimation and Model-Based Imaging
Introduction
Random Variables and Estimation
Causal and Non-Causal Gaussian Random Process Models
Whittening Random Processes
1-D AR Random Processes
2-D AR Processes
Noncausal Gaussian Models
Image Restoration using Guaussian MRF's and MAP Estimation
Image Restoration
Page 83 Chapter 2.7 NRC: Conjugate Gradient Method
Continuous Non-Gaussian MRF
Continuous NonGaussian MRF's
EM Parameter Estimation for 2-D Image Priors
Results from MAP image restoration laboratory
Mixture Distributions and the EM Algorithm
Clustering and the EM Algorithm
Markov Chains and Hidden Markov Models
Markov Chains
Hidden Markov Models and the EM algorithm
Discrete Markov Random Fields
Discrete MRF Models
viewgraphs,
notes
Simmulation
viewgraphs,
notes
Segmentation using MRF's
Segmentation using MRF's
viewgraphs,
notes
Tomographic Reconstruction
Interative Image Reconstruction
viewgraphs,
notes