Signal and image processing (2018/2019)



Course code
4S000019
Credits
6
Coordinator
Marco Cristani
Academic sector
INF/01 - INFORMATICS
Language of instruction
Italian
Teaching is organised as follows:
Activity Credits Period Academic staff Timetable
Teoria 4 I semestre Marco Cristani

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Laboratorio [Primo turno] 2 I semestre Marco Cristani

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Laboratorio [Secondo turno] 2 I semestre Marco Cristani

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Learning outcomes

The course is meant to the acquisition of the main theoretical and practical tools that are necessary for signal and image processing. In particular the course focuses on Fourier (time/frequency) analysis, linear time-invariant systems and digital filtering. The whole pipeline from signal and image acquisition will be considered, and the main theorethical and practical aspects will be treated.
Laboratory sessions will be organized in order to "put in practice" what is treated in the course covering the entire pipeline in order to provide the student a complete view on the pipeline as well as good desing and implementation capabilities.

Syllabus

- Introduction to the signal and image processing
- Preliminary mathematics
- Signals and their taxonomy
- Fourier analysis, 1D and 2D
- Methods for improving image quality (image enhancement) in both the spatial and frequency domains
- Extraction of image contours
- Extraction of image regions
- Morphological operators
- Representation and processing of color images

Assessment methods and criteria

Written with evaluation of Lab sessions.

Reference books
Activity Author Title Publisher Year ISBN Note
Teoria Rafael C. Gonzalez and Richard E. Woods Digital Image Processing (Edizione 4) Prentice Hall College Div 2017 0133356728
Laboratorio Rafael C. Gonzalez and Richard E. Woods Digital Image Processing (Edizione 4) Prentice Hall College Div 2017 0133356728

Student opinions - 2017/2018