Topics in Signal Processing:
Model-based image reconstruction methods
F13, Prof. Jeff Fessler
MW 10:30AM-Noon, 3433 EECS
This course will cover advanced topics in image reconstruction
inverse problems, sparsity, compressed sensing, and optimization,
with applications in image denoising, deblurring, super-resolution,
tomography, MRI, etc.
The tools apply to many inverse problems,
especially imaging problems,
and application content will be in part adapted
to student interests.
It may be helpful for you to download the first
chapter(s) before the first lecture.
- Course policies
- Lecture topics (evolving list)
- Matlab toolbox for image reconstruction
- Book chapters (UM access via cosign)
- Demo code
( 4431 EECS )
- M 9:30-10:30 AM
- W 9:30-10:30 AM
If any of these links do not work, please email
"fessler AT umich DOT edu"
Back to Fessler course page