Module Number MEINFM3143 
Module Title Image Processing 
Type of Module Compulsory 

ECTS  6  
Work load  Contact time  Self study 
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h 

Duration  1 Semester  
Frequency  In the winter semester  
Language of instruction  German and English  
Type of Exam  Written Test 

Lecture type(s)  Lecture, Tutorial  
Content  Covered topics include: Fourier series, Fourier transform, properties of the Fourier transform, discrete Fourier transform, sampling and aliasing, linear operations, PSF, LSI systems, FIR and IIR filters, image reconstruction (Wiener filter), multiscale representation, wavelets, edge detection, segmentation, image mapping, crosscorrelation, morphological operations. 

Objectives  The students know the mathematical basics of image processing and know which algorithms exist for the basic tasks in image processing and how they are applied. In the exercises, the students have learned to apply their theoretical knowledge to solve concrete problems in image processing and to implement appropriate implement the corresponding algorithms. 

Allocation of credits / grading 
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
3
4.5
wt
90
g
100
Tutorial
Ü
o
1
1.5


Prerequisite for participation 
INFM1010 Mathematics for Computer Science 1: Analysis, INFM1020 Mathematics for Computer Science 2: Linear Algebra, INFM1110 Practical Computer Science 1: Declarative Programming, INFM1120 Practical Computer Science 2: Imperative and ObjectOriented Programming 

Lecturer / Other  Schilling  
Literature  Es soll entweder (INFM1110 oder INFM1120) und (INFM1010 oder INFM1020) bestanden worden sein. 

Last offered  Wintersemester 2022  
Planned for  Wintersemester 2024  
Assigned Study Areas  BIOINFM2510, INFM2510, INFM3110, MDZINFM2510, MEINFM 