Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Ingegneria e scienze informatiche - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2018/2019
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2 courses to be chosen among the following
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Image Processing II (2018/2019)
Teaching code
4S003737
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
The course aims at providing the theoretical and practical knowledge for the time(space)/frequency analysis of multidimensional signals. The mail focus will be on the Wavelet Transform as well as on applications in the ICT framework.
At the end of the course the student will be able to identify the best approach to process signals, images and volumetric data depending on the problem at hand such as feature extraction for pattern recognition, compression and coding, multiscale representation of multidimensional signals.
The student will be able to design and implement a signal processing system using different computational platforms including Matlab and Python as well as analyse the performance of the algorithm.
At the end of the course the student will be able i) to propose solutions to a given problem from both the theoretical and algorithmic point of view; ii) to learn new mathematical tools for the representation, analysis and processing of multidimensional signals; iii) to implement the algorithm on the most suitable platform.
Program
1) Background: overview of mathematical tools
- Fourier transform for signals and images
- Windowed Fourier Transform
2) Wavelets and multiresolution representations
- Introduction to multiresolution theory
- Wavelet bases
- Wavelet families and overcomplete representations
- Fast Wavelet Transform (DWT)
- Extension to multiple dimensions
- Applications in ICT and biomedical frameworks
Bibliography
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Teoria | Stephane Mallat | A Wavelet Tour of Signal Processing (Edizione 2) | Academic Press | 1999 | 9780124666061 |
Examination Methods
The exam consists in an oral and a project. The oral will concern multiresolution theory. The project will be assigned during the lab. sessions.
