DIGITAL SIGNAL & IMAGE PROCESSING

DIGITAL SIGNAL & IMAGE PROCESSING

_
iten
Last update 09/05/2021 11:13
Code
90520
ACADEMIC YEAR
2021/2022
CREDITS
9 credits during the 1st year of 10852 COMPUTER SCIENCE (LM-18) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
INF/01
LANGUAGE
English
TEACHING LOCATION
GENOVA (COMPUTER SCIENCE )
semester
1° Semester
Teaching materials

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

Ricevimento: Appointment by email

Ricevimento: Appointment by email: francesca.odone@unige.it (always specify name and surname, course name, degree name)

Exam Board

ALESSANDRO VERRI (President)

FRANCESCA ODONE

ANNALISA BARLA (President Substitute)

LESSONS

Teaching methods

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

ORARI

L'orario di tutti gli insegnamenti è consultabile su 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.