Variational Methods in Image Processing 049064, Fall 2017 

Fall semester 2017-2018

Course syllabus and info (Hebrew & English)

New course messages

  • Project details were given (11.1.2018). Midterm presentation 19.2, final submission 5.3.
  • Exercise 3 was given (8.1.2018), due date 29.1.18.

 

Lectures

Week (date)

Topic

Slides

Notes

1  (23.10) Intro lecture  Intro
2  (30.10) Diffusion processes I – linear, Perona-Malik, Weickert  Week 2  Notes 1
3  (6.11) Diffusion processes II - basic properties, stability, numerical implementation.  Week 3  Notes 2
4  (13.11) Basic functionals  Week 4  Notes 3
5  (20.11) BV and Euler-Lagrange  Week 5  Notes 4
6  (27.11) Spectral TV.  Week_6  Notes 5
7  (4.12) Graduate research talks  EtyShai  - none -
8  (11.12) TV denoising and deconvolution  Week 8  Notes 7
9  (25.12) Segmentation  Week 9  Notes 8
10  (1.1.18) Optical flow  Week 10  Notes 9
11  (8.8.18) Nonlocal operators  Week 11  Notes 10
12  (15.1.18) Numerical methods I  (no slides)  Notes 11
13  (22.1.18) Numerical methods II  (no slides)
 Notes 12

 

Exercises

Ex#

Topic

PDF

Due date

Files

1 Diffusion  Exercise 1  27.11.2017  Ex1_files
2 TV Denoising and Deconvolution  Exercise 2   1.1.2018  Ex2_files
3 Segmentation and optical flow  Exercise 3  29.1.2018  Ex3_filesRoad_movie(extra: where road sequence was taken from)
 
Proj Final project  Final Project  Final 5.3.Presentation 29.2.  papers

 

 

 

Older messages

  • Exercise 2 was given (11.12), due date 1.1.18.
  • Exercise 1 was given (13.11), due date 27.11.17.
  • A mailing list for the course was set, anyone who did not join yet and wants to – please email me (15.11).