Course title: Digital Image Processing
Number of credits (ECTS): 6
Weekly number of classes: 3+1+1+0
Prerequisite for enrollment of the subject: None
Course Goals (acquired competencies): The course will enable the students to understand the basics of digital image processing and mathematical methods and tools on which it is based, to test and examine practical implementations of various algorithms and to evaluate their advantages and disadvantages. By following the course the student will be able to solve various problems in the field of image processing by using and developing appropriate tools.
Total available number of classes: 180
Course Syllabus: Basics of image processing. Image enhancement in spatial domain. Spatial filtering. Image enhancement in transform domain. Image restoration. Color image processing. Multiresolution image processing. Image compression. Edge detection. Morphological image processing. Image segmentation. Representation and description. Image analysis.
|R. C. Gonzalez and R. E. Woods||Digital Image Processing||Prentice Hall||2008|
|Lj. Panovski||Image processing systems||2002|
|A. K. Jain||Fundamentals of Digital Image Processing||Prentice Hall||1989|