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 in Informatica - 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.
The Study plan 2008/2009 will be available by May 2nd. While waiting for it to be published, consult the Study plan for the current academic year at the following link.
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.
Multimedia processing (2009/2010)
Teaching code
4S02725
Teacher
Coordinator
Credits
6
Also offered in courses:
- Human-computer Interaction and Multimedia of the course Bachelor in Computer Science (until 2008-2009 academic year)
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
2nd Semester dal Mar 1, 2010 al Jun 15, 2010.
Learning outcomes
The class gives the basic theoretical fundamentals and some methods for the generation and processing of sound and images, which are fundamental for the design of multimedia systems. The module aims at presenting the main techniques for the analysis of images devoted to the improvement of their quality, restoration, and information (feature) extraction. The course gives the tools and fundamental techniques for understanding and manipulating sounds and images for the purpose of creating interfaces, compressing and transmitting information, analyzing scenes, etc..
Program
* Image acquisition: mathematical models, sampling and quantization
* Image Transforms: Fourier
* Filtering: histograms, noise modeling and reduction, punctual and local operators, geometri operators, low-, band-, and high-pass filters, optimal filters, nonlinear filters.
* Extraction and characterization of edges.
* Extraction and characterization of regions.
Examination Methods
Written essay.
