IMAGE PROCESSING AND TRASMISSION
Academic year2016/17
CourseTELECOMMUNICATIONS ENGINEERING
Code289II
Credits6
PeriodSemester 1
LanguageItalian
| Modules | Area | Type | Hours | Teacher(s) |
| ELABORAZIONE E TRASMISSIONE DELLE IMMAGINI | ING-INF/03 | LEZIONI | 60 | |
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Knowledge
The student who successfully completes the course will be able to demonstrate a solid knowledge of the main issues related to the image analysis and processing, with emphasis on those aspects strictly related to telecommunication field. He or she will acquire ability in dealing with image analysis, frequency domain representation, the analysis of linear space-invariant transformations, the sampling theorem and the use of conventional interpolation techniques in image processing applications. The student will also be aware of the basic principles of the image compression and stochastic processes. He or she will acquire fundamental knowledge of image enhancement and image restoration techniques.
Assessment criteria of knowledge
During the oral exam, the student will be assessed on his/her ability in discussing the main course contents with competence, critical awareness and propriety of expression.
Methods:
- Final oral exam
- Final laboratory practical demonstration
Further information:
The final test is composed by a laboratory computer exercise and by an oral exam.
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- individual study
- Laboratory work
Attendance: Not mandatory
Teaching methods:
Syllabus
The course covers the study of image and multidimesional signals, with emphasis on
their representation in the frequency domain based on the Fourier transform, their sampling and reconstruction through interpolation techniques and their processing by means of linear filters. These concepts are used to provide the basic knowledge for the analysis of two-dimensional systems. Image enhancement methods are studied and the problem of image restoration in introduced.
The analysis of two-dimensional random fields is considered. Finally, the basic principle of the image compression techniques (JPEG, MPEG) are introduced.
Further activities: MATLAB computer exercises are included to simulate image processing techniques.
Bibliography
Anil K. Jain-Fundamentals of digital image processing -Prentice Hall, 1989
Work placement
MATLAB computer exercises are included to simulate image processing techniques.
Updated: 14/11/2016 17:27
