Gestione Didattica - Politecnico di Torino

Politecnico di Torino

Academic Year 2015/16

02FEQNZ, 02FEQPC
Image and video processing

1st degree and Bachelor-level of the Bologna process in Telecommunications Engineering - Torino
1st degree and Bachelor-level of the Bologna process in Cinema And Media Engineering - Torino

Teacher	Status	SSD	Les	Ex	Lab	Tut	Years teaching
Magli Enrico	O2	ING-INF/03	40	0	20	0	6

SSD	CFU	Activities	Area context
ING-INF/03 ING-INF/03	3 3	B - Caratterizzanti F - Altre attività (art. 10)	Ingegneria delle telecomunicazioni Abilità informatiche e telematiche

Subject fundamentals

This course is mandatory for the 'Laurea' in Telecommunication Engineering and in Cinema Engineering, and it is placed on the second semester, third year. It introduces the theory and techniques of compression for data, images and video sequences, and the techniques for image processing. This material is fundamental for the comprehension of multimedia applications and services, and in general for the telecommunications field.

Expected learning outcomes

Knowledge of principles of information theory as regards source coding and compression
Knowledge of the most important data compression algorithms
Knowledge of the main quantization techniques
Knowledge of transforms for image processing
Knowledge of the JPEG standard
Knowledge of image acquisition and representation techniques
Knowledge of main image processing techniques in the spatial and frequency domain
Knowledge of main image restoration techniques
Knowledge of morphological operators
Knowledge of main image analysis techniques

Prerequisites / Assumed knowledge

Prerequisites of this course are a good understanding of the mathematical topics presented in the first two years of the Telecommunications degree, and understanding of the methodologies and techniques given during the 'Teoria ed elaborazione dei segnali' course in the first semester of the third year.

Contents

Fundamentals of information theory (3 hours)
Huffman coding and data compression (6 hours)
Scalar and vector quantization (6 hours)
Introduction to image processing: the basic, image acquisition, color representation (4.5 hours)
Spatial domain processing: intensity transformations, filtering (6 hours)
Frequency domain processing (4.5 hours)
Image restoration (7.5 hours)
Image compression: transforms, predictive coding, JPEG, introduction to video compression (7.5 hours)
Morphological operators (6 hours)
Segmentation algorithms (9 hours)

Delivery modes

The methods taught during the course will be implemented and tested during computer labs using Matlab. The time dedicated to computer labs will be about one third of the time dedicated to lectures. Students are organized in groups of no more than two people. For each lab, the group has to write a report; reports are evaluated and concur to determine the final grade.

Texts, readings, handouts and other learning resources

Main textbooks:

R. C. González, R. E. Woods, Digital Image Processing, Prentice Hall, 2008.
K. Sayood, Introduction to data compression, 3rd edition, Morgan-Kauffman, 2006.

Other available material includes the slides used during the lectures and the material for the computer labs. The material will be available on the web.

Assessment and grading criteria

The final exam is in written form and consists in a test with multiple answers. The students receive a positive score for each correct answer and a negative score for each wrong answer. The final grade depends on the sum of the different scores of the written exam and on the evaluation of the reports of the computer labs.

Programma definitivo per l'A.A.2015/16

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