Course Introduction Slides Mathematical Models And Methods For Image Processing (MMMIP) (Milano Leonardo), Materiali

Use the folloging calendar to know which room to go and where to connect, and to watch lectures recordings (Google Calendar)

February 18th Course Introduction and Representation w.r.t. Orthonormal Basis  Slides, Assignment - Colab Folder

February 20th DCT Basis for Images and Image Compression  Slides, Assignment - Colab Folder

February 25th Image Denoising: Sliding DCT Slides Assignments given in the following lab session.

February 27th Wiener Filter  Slides, Assignment - Colab Folder

March 4th Away From Orthonormal Basis  Slides, Assignment - Colab Folder

March 7th PCA-Denoising  Slides, Assignment - Colab Folder

March 11th Sparse Coding in ℓ0 sense. Matching Pursuit Slides, Assignment - Colab Folder

March 13th Matching Pursuit Variants  Slides, Assignment - Colab Folder

March 18th Dictionary Learning: KSVD  Slides, no assignments

March 20th Denoising with OMP  Slides, Assignment - Colab Folder

March 25th Spark and Image Inpainting Slides, Assignment - Colab Folder

March 27th KSVD Lab and denoising with learned dictionaries  Slides, Assignment - Colab Folder

April 1st Sparsity in ℓ1 sense: Basis Pursuit Denoising and Descent Lemma   Assignment - Colab Folder

April 8th Self-Similarity, Non-Local Means, BM3D  Slides on Self-Similarity, Slides on BM3D, Assignment - Colab Folder

April 10th Proximal Mapping and Iterative Soft Thresholding Algorithm (ISTA) Assignment - Colab Folder

April 17th Iterative Reweighted Least Squares (IRLS), Method of Optimal Directions (MOD) Slides Assignment - Colab Folder

Description of Thesis Opportunities

Artificial Neural Networks And Deep Learning Polimi ( Materials )

Computer Vision (USI Lugano) Spring 2020 ( Materials )

Learning Sparse Representation for Image And Signal Modeling (Milano Leonardo, PhD course) February 2019 Materials (Official Program)

Advances In Deep Learning With Applications In Text And Image Processing (Milano Leonardo, PhD course) February/March 2019 Materials (Official Program)