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.
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.
Class (44 hours) and guided labs (12 hours)
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
Ricevimento: Appointment by email: francesca.odone@unige.it (always specify name and surname, course name, degree name)
Ricevimento: Appointment by email
ALESSANDRO VERRI (President)
ANNALISA BARLA
FRANCESCA ODONE (President Substitute)
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.
