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Links Students Contact Me Office Hours Instructor Schedule Grading Objective Description Text & Materials Admittance Prerequisites
 

Tentative Schedule

Week
Day
Content
1
M
Fundamentals of Image Processing
W
Fundamentals of Image Processing
2
M
Filters and Transformations
W
Filters and Transformations
3
M
Image Noise Models
W
Image Noise Models
4
M
Spectral & PC Analyses
W
Spectral & PC Analyses
5
M
Scale-Space Analysis
W
Scale-Space Analysis
6
M
Bilateral filters
W
Bilateral filters
7
M
Linear Diffusion Models
 
W
Linear Diffusion Models
8
M
Nonlinear Diffusion Models
W
Nonlinear Diffusion Models
9
M
Nonlinear Diffusion Models
W
Nonlinear Diffusion Models
10
M
Total Variation Models
W
Total Variation Models
11
M
Total Variation Models
W
Total Variation Models
12
M
Level-Set Methods
W
Level-Set Methods
13
M
Image Registration
W
Image Registration
14
M
Image Segmentation
W
Image Segmentation
15
M
3D image processing
W
3D image processing
 

Last updated: January 21, 2008 11:23 AM