ΕΠ10 - Digital Image Processing and Applications

General Information

School: Digital Technology

Department: Informatics and Telematics

Level: Undergraduate

Course Title: Digital Image Processing and Applications

Course id: ΕΠ10

Type: Core Course 

Semester: 6

Teaching and Examination Language: Greek

Is the course offered in Erasmus: Yes

Course web-page: https://eclass.hua.gr/courses/DIT233/

Activities

Lectures (Theory): 3,0

Lab lectures: 2,0

ECTS credits: 5,0

Learning Outcomes

The course aims at introducing students to digital image processing technologies and methods, as well as its applications. The course will introduce students to:
- Image capturing and representation technologies
- Color theory and the various color models
- Core mathematical tools for digital image processing
- Methods for enhancement, segmentation and compression of digital images

General Skills

- Adaptation in new conditions
- Independent work
- Team work
- Promoting free, creative and deductive reasoning

Course Content

Image representation, Color Models, the RGB Model, Image Enhancement, Application of Filter Masks, Noise Reduction, Image Segmentation, Image  Thresholding,  Edge Detection, Image Compression.

Learning and Teaching Methods - Evaluation

Teaching methods: face-to-face

Use of ICT: 

- eclass course web page
- use of specialized software

Course Organization

Assessment

- Final examination (60%)
- Assignments (individual or in teams) (40%)

Literature

- R.C. Gonzalez, R.E. Woods, «Digital Image Processing», 4th Edition, Pearson, 2017.
- W. K. Pratt, «Digital Image Processing», 4th Edition, John Wiley and Sons Inc., 2007.
- J. S. Lim, «Two-Dimensional Signal and Image Processing», Prentice Hall, 1990.
- Ν. Papamarkos, «Digital processing and analysis of image », Giourdas Eds., 2005 (in Greek).

IEEE Transactions on Image Processing