SGN-31007 Advanced Image Processing, 5 cr

Implementation SGN-31007 2019-01

Description

The course is implemented once a year.
Study of elected topics of image processing, project works,
practical tasks in image processing

Lessons

Period 4
Methods of instruction
Person responsible Karen Eguiazarian

Assessment scale

Numerical evaluation scale (0-5)

Requirements

Final mark is computed based on the units as follows:
- Lecture attendance,
- Project work,
- Classroom exercises,
All units must be passed otherwise final mark is not given

Additional information of course implementation

More information may appear in the course home page.


Study material

Type Name Author ISBN Additional information Language Examination material
Book Digital Image Processing R. Gonzalez and R. Woods English No
Book Local Approximations in Signal and Image Processing V.Katkovnik, K.Egiazarian, and J.Astola English No
Lecture slides K. Egiazarian English No