Digital Image Processing II(EE)/Advanced Image Processing (CS) Course Syllabus (Fall 2004)

Schedule:

1st class: 09/01/04 Introduction + Background in Imaging
2nd class: 09/08/04 Probability Theory in Imaging
3rd class: 09/22/04 Imaging Physics Background
4th class: 09/29/04 Image Reconstruction & Low-Dose CT Modality
5th class: 10/06/04 Natural Image Statistics
6th class: 10/13/04 Generative Image Models
7th class: 10/20/04 Machine Learning Methods
8th class: 10/27/04 Midterm
9th class: 11/03/04 Medical Imaging Applications
10th class: 11/10/04 Image Segmentation & EM Algorithm
11th class: 11/17/04 Optimization in Image Reconstruction
12th class: 12/01/04 Quantitative Emission Tomography
13th class: 12/08/04 Image Evaluation
14th class: 12/15/04 Final Exam

This course will cover modern approaches to image processing, statistical image formation and image models, image restoration, reconstruction and segmentation, applications to medical imaging.
Appropriate background: CSE527 or ESE558, or linear algebra, calculus, basci probability, programming.

Course Grading:

Midterm 30%
Projects 40%
Homework 30%