OVERVIEW

The Digital Signal and Image Processing course aims at providing the basic tools for analyzing and processing 1D and 2D signals over time, space and frequency.

The course will consist in classes and guided labs.

The course has a strong applicative connotation. In addition to the labs, the student will work on a project that will require a great deal of autonomy to solve complex problems.

AIMS AND CONTENT

LEARNING OUTCOMES

Acquiring the basic tools for the analysis of signals in both the space and frequency domains, and learning the main image processing techniques for feature extraction, image segmentation, image registration, and image matching.

TEACHING METHODS

Class (44 hours) and guided labs (12 hours)

SYLLABUS/CONTENT

1D Signals: Fourier Series, Singularity Functions and Fourier Transform, Fourier pairs and Sampling, Linear Systems and Filters, Kalman filter, a brief tour on Wavelets

2D Signals: intro on images, filters, feature extraction, and image matching
 

TEACHERS AND EXAM BOARD

Exam Board

ALESSANDRO VERRI (President)

ANNALISA BARLA

FRANCESCA ODONE (President Substitute)

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Students are required to turn in a report on each guided lab. A mid term problem set will be used to decide the type of project each student will work on. The final exam will consist in an oral presentation of the project.

Exam schedule