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Risorsa bibliografica obbligatoria |
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Risorsa bibliografica facoltativa |
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Anno Accademico
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2017/2018
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Scuola
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Scuola di Ingegneria Industriale e dell'Informazione |
Insegnamento
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091032 - AUDIO AND VIDEO SIGNALS
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Docente |
Marcon Marco
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Cfu |
5.00
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Tipo insegnamento
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Modulo Di Corso Strutturato
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Corso di Studi |
Codice Piano di Studio preventivamente approvato |
Da (compreso) |
A (escluso) |
Insegnamento |
Ing Ind - Inf (Mag.)(ord. 270) - MI (474) TELECOMMUNICATION ENGINEERING - INGEGNERIA DELLE TELECOMUNICAZIONI | * | A | ZZZZ | 091042 - VIDEO SIGNALS | 091032 - AUDIO AND VIDEO SIGNALS | Ing Ind - Inf (Mag.)(ord. 270) - MI (487) MATHEMATICAL ENGINEERING - INGEGNERIA MATEMATICA | * | A | ZZZZ | 095978 - AUDIO AND VIDEO SIGNALS |
Programma dettagliato e risultati di apprendimento attesi |
Visual information plays an important role in almost all areas of our life.
Today, much of this information is represented and processed digitally. Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing.
"Video Signals" is a graduate-level introductory course to the fundamentals of digital image processing. It emphasizes general principles of image processing but with a specific focus to practical applications. We expect to cover the following topics:
image sampling and quantization,
colors and colorimetry,
spatial and frequency operations,
image segmentation,
morphological image processing,
linear image filtering and correlation,
Image Spectral analysis based on Fourier transform,
noise reduction and restoration,
Deconvolution and blind deconvolution,
Image and Video Compression,
spatio-temporal sampling,
motion analysis and tracking,
multiple image stitching for panoramic images and videos,
High Dynamic Range Images.
Lectures will be complemented by computer exercises with MATLAB Image processing Toolbox.
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Note Sulla Modalità di valutazione |
The exam for the “video signals” module is a written test with 3 or 4 exercises to be solved in 2 hours. Two or three exercises require a numerical/procedural solution while the last one is a exercise requiring the definition of a Matlab procedure in order to solve the question and will focus on exercises exposed during laboratories. The Matlab code has to be written directly on the paper without any computer aid.
The exam for the first module will take place only in the written version; no oral exams, integrations or projects will be considered in order to increase the obtained grade.
In order to pass the whole “Audio and Video Signals” exam (first and second module) (for students that are not following just the Video module, a positive grade must be obtained in both modules and the final mark will be the average of the two marks rounded up the next integer.
In evaluating the average between the two modules a 30 cum laude mark in a module will be considered as 30; in order to get 30 cum laude as a final mark, the mark of at least one module must be 30 cum laude.
In every exam date the two modules will take place the same day one after the other (more details will be provided by the web poliself); however students can choose to take on a single module or both modules in the same day.
Once a student gets a positive mark in a module this mark will be automatically frozen until she/he takes again the same module in a following session; “taking again the exam on the same module” means that the student registers, participates and turns in his/her solution; while if the student simply participates to an exam but does not turn in his/her solution, this will not change the previous mark and the student will be considered as "asbsentee".
Once a student gets a positive mark in both modules the final mark will be evaluated and then published for the publishing period on the web poliself ; at the end of this period it will be automatically recorded. If the student does not want to record that final grade he/she has to refuse it from the poliself: in that case both marks will be restored in a "frozen" state in order to allow the student to take on again a module (or both of them). However if the student has a frozen mark in both modules at the end of each exam to which his/her signed in, the final average mark will be automatically published and, after the publishing period, automatically recorded: so, if the student wants to improve the final mark he/she has to remember to refuse the published final grade.
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Theodoridis, Sergios Koutroumbas, Konstantinos., Pattern Recognition, Editore: Elsevier Academic Press, 2003., Anno edizione: 2003, ISBN: 0126858756
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Nessun software richiesto |
Tipo Forma Didattica
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Ore didattiche |
lezione
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32.0
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esercitazione
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8.0
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laboratorio informatico
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10.0
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laboratorio sperimentale
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0.0
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progetto
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0.0
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laboratorio di progetto
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0.0
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Informazioni in lingua inglese a supporto dell'internazionalizzazione |
Insegnamento erogato in lingua

Inglese
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Disponibilità di materiale didattico/slides in lingua inglese
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Disponibilità di libri di testo/bibliografia in lingua inglese
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Possibilità di sostenere l'esame in lingua inglese
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Disponibilità di supporto didattico in lingua inglese
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