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 1 and 2 : tp1.pdf
  • File to download: tp1.zip
  
  
• Hands-on session 3 :
  • Hands-on session 3 : tp3.pdf
  • File to download: tp3.zip
  
  
• Hands-on session 4:
  • Hands-on session 4 : tp2.pdf
  • File to download: tp2.zip