Mathematical methods for Image Processing
- GIAN Indian program, at the National Institute of Technology Karnataka, Mangalore
- Informations on the course : Brochure
- Tentative programme : programme
- Slides of the Lectures:
- lecture1.pdf : Introduction to image processing and mathematical optimization
- lecture2.pdf : Smooth optimization
- lecture3-6.pdf : Image denoising using the H1 regularization
- lecture4.pdf : Non-Smooth optimization
- lecture5.pdf : Image restoration : The total variation
- lecture7.pdf : Applications for image denoising, deblurring, inpainting and for restoring compressed images
- lecture8-10.pdf : Sparsity based regularization, from Non-linear approximation to
compressed sensing for the L0 minimization and L1 minimization.
- lecture9.pdf : Image zooming using the total variation
- lecture11.pdf : Introduction to other image processing problems
- lecture12.pdf : Image de-quantization
- Hands on session: The hands-on session are done in Scilab. You need to download the toolbox: "toolbox_general" and "toolbox_signal" from http://www.numerical-tours.com/installation_matlab/
- Hands-on session 1 and 2 :
- Hands-on session 3 :
- Hands-on session 4: