Digital Image Processing


Starts on 10/10/2022

Ends on 02/01/2023


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

web 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

11. 05. 2022 Go

Geometric learning

05. 04. 2022 Go

Computer Graphics

04. 04. 2022 Go

Bayesian Learning

02. 04. 2022 Go

Computer Graphics

31. 03. 2022 Go

Web of Data

27. 03. 2022 Go

Machine Learning

02. 03. 2022 Go

Player Modeling

28. 02. 2022 Go

Player Modeling

21. 02. 2022 Go

Affective Computing

21. 02. 2022 Go

Machine Listening

21. 02. 2022 Go

Computer Vision

21. 02. 2022 Go

Computer Vision

21. 02. 2022 Go

Self-Driving Cars

21. 02. 2022 Go