Variational Methods in Image Processing 049064, Fall 2016 

Fall semester 2016-2017

Course syllabus and info (Hebrew & English)

New course messages

  • Exercise 4 was given on 23.1.2017, due date 13.2.2017.
  • Exercise 3 – extended deadline for submission until 30.1.2017.
  • Final project was given. Presentations 27.2.2017, final submission 13.3.2017.
  • Exercise 3 was given on 9.1.2017, due date 23.1.2017 (extended to 30.1).

 

Lectures

Week (date)

Topic

Slides

Notes

1  (31.10) Intro lecture  Intro
2  (7.11) Diffusion processes I – linear, Perona-Malik, Weickert  Week 2  Notes 1
3  (14.11) Diffusion processes II - basic properties, stability, numerical implementation. (no slides)  Notes 2
4  (21.11) Basic functionals  Week 4  Notes 3
5  (28.11) BV and Euler-Lagrange  Week 5  Notes 4
6  (5.12) TV denoising and deconvolution  Week 6  Notes 5
7  (12.12) Segmentation I  Week 7  Notes 6
8  (19.12) Segmentation II – level sets  Week 8  Notes 7
9  (26.12) Optical flow  Week 9  Notes 8
10  (2.1.17) Nonlocal operators  Week 10  Notes 9
11 (9.1.17) Spectral TV  Week 11  Notes 10
12 (16.1.17) Numerical methods I  (no slides)  Notes 11
13 (23.1.17) Numerical methods II  (no slides)
 Notes 12

 

Exercises

Ex#

Topic

PDF

Due date

Files

1 Diffusion  Exercise 1  5.12.2016  Ex1 files
2 TV Denoising and Deconvolution  Exercise 2  26.12.2016
 Ex2_files
3 Segmentation and optical flow  Exercise 3  30.1.2017  Ex3_files
4 Spectral TV, Convex analysis, Nonlocal operators  Exercise 4  13.2.2017  Ex4_files 
Proj Final project  Final Project  Present 27.2

 Submission 13.3

 Papers

 

 

 

Older messages

  • Exercise 1 was given on 21.11.16, due date 5.12.16