The course image processing consists of lectures and practical exercises. In the lecture we start with the basics of image formation and image representation, cover the core image processing tools and proceed up to advanced methods of image denoising and deconvolution.
To gain experience in image processing, the lectures are accompanied by practical exercises. In the exercises the students implement some of the concepts seen in the lectures themselves.
Note: we break the alternating rhythm of exercises and lectures to have a lecture on 13.6.2016!
Lectures: Monday, 13:00 – 14:30, APB E007, Begin: 04. April 2016, every second week.
Exercise: Monday, 13:00 – 14:30, APB E040, Begin: 11. April 2016, every second week.
Prerequisites: good knowledge of maths, programming.
Credits: 1/1/0 SWS = 3 credit points, oral exam,
Attendees: max. 60.
Note: Lectures are held in English with slides in English. Literature notes are given for each lecture, many of them refer to the book: “Digital Image Processing” by Gonzales and Woods.
Note on the oral exam:
The exercises are part of the exam, we expect students to have in depth knowledge on the programming tasks.
Due to organizational reasons, oral examinations for this semester must be taken before 31.7.2016 Examinations in later semesters are possible on personal appointment.
|04.04: Image Formation slides||
11.04: Demosaicing task
|18.04: Image Representation slides||25.04: Fourier Transform task|
|02.05: Linear Filters and Edge Detection slides||09.05: Edges task|
|23.05: Noise and Denoising slides1 slides2||30.05: Noise task|
|06.06: Denoising slides|
|13.06: Denoising and Deblurring slides1 slides2||20.06: Denoising Exercise task test images|
|27.06: Deblurring, Inpainting, High-order MRFs & Learning slides1 slides2 slides3||04.07: Denoising and Deconvolution Exercise task|
|11.07: High Dynamic Range Imaging slides|