Digital Image Processing


Ioannis Pitas,

Content and organization

Digital image acquisition. Image digitization. Image perception. Image quality enhancement. Image filtering. Image restoration. Digital image compression and related standards (e.g. JPEG/JPEG2000). Deep learning and image processing.

Course attendance will be asynchronous in English, using the educational material found in CVML Web Lectures modules:
Image Processing

Compulsory bibliographical and/or programming assignments are foreseen to be carried out during the course.

In order to pass the course, you will be requested to:
1) study the course lecture pdfs (in English) and fill the respective understanding questionnaires:
2) do an obligatory bibliographical project (in ppt and tex)
3) do an obligatory programming project
4) participate in the final written course exams (remotely).

The course is quite demanding, but it provides excellent knowledge of the entire domain of Digital Image Processing.


Senior undergraduate course

Course Duration

13 weeks, 4 hours/ week

Course Type

Semester Course



Marking Scheme

0-10 for written exams. Literature survey or programming assignments or mid-term exams or oral presentations provide an additional 2-4 points, if the exam mark is at least 4.



Modality (online/in person):

Asynchronous on-line participation


Up to 5 participants

Host Institution
Aristotle University of Thessaloniki (AUTH)

Other short courses

10. 04. 2024 Go

Ethics & STICs

01. 03. 2024 Go

Computer Vision

24. 11. 2023 Go

Human Rights Toolbox

21. 02. 2023 Go

Computer Vision

16. 02. 2023 Go