Ioannis Pitas, firstname.lastname@example.org
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:
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
13 weeks, 4 hours/ week
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.
Asynchronous on-line participation
Up to 5 participants