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.

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.

AIMS AND LEARNING OUTCOMES

At the end of the course, students will be able to: 1) understand the signal and image processing terminology (2) describe and apply the main tools of signal and image processing (3) analyse the obtained results in a critical way.

PREREQUISITES

Linear algebra, basic calculus, programming

TEACHING METHODS

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

SYLLABUS/CONTENT

Students will learn basic tools for analyzing one- and two-dimensional signals in space, time and frequency. Main topics of the course: Fourier series, Fourier transform, Linear systems, Kalman filter, Wavelet. Applications of  filtering in space and frequencies to digital images.

RECOMMENDED READING/BIBLIOGRAPHY

Notes, readings, slides  shared by the instructors on Aulaweb.  
Books: Orfanidis "Introduction to Signal Processing"; Oppenheim et al. "Discrete-Time Signal Processing"; Gonzales Woods - "Digital Image Processing"

TEACHERS AND EXAM BOARD

Exam Board

ALESSANDRO VERRI (President)

ANNALISA BARLA

FRANCESCA ODONE (President Substitute)

LESSONS

LESSONS START

In agreement with the calendar approved by the Degree Program Board of Computer Science.

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Written test to assess the entry level requirements. Oral exam on the entire program with a discussion of the assignments

ASSESSMENT METHODS

The knowledge acquired and the achievement of a sufficient degree of mastery of the mathematical and computational tools at the basis of the teaching will be evaluated through a short written test. The acquisition of skills on the fundamentals of signal and image processing will be verified through homework and oral exam.

Exam schedule