Infopage for IP2: Advanced Image Processing Methods (Tu. 10-12 h)

This lecture series is one of two components of the master module image processing 2 (IP2). Since both components share one semester, Prof. Dreschler-Fischer will give another lecture, namely Image Processing by Means of Remote Sensing.
This lecture builds upon image processing 1 (IP1), which is a part of the International Master Course Informatics of the University of Hamburg. Thus, the language used in this course is English. Oral examinations can be performed in German or English.
The procedure of this course consists of lectures with integrated exercises.

Topics

This lecture series gives a in-depth introduction into the concepts and methods of the image processing.

Lecture slides

The English lecture slides will be made accessible trough this site on each Monday and Wednesday before the lectures.

1. Introduction
2. Linear System Theory
   Please use the slides from the MMS lecture (german):
   1. Introduction and Terminology
   2. Fourier Series and Analysis
   3. Complex Fourier Series and Fourier Transform
   4. Convolution, Sampling and Correlation
   5. Properties and Theorems of the Fourier Transform
   6. Multidimensional Fourier Analysis
   7. Gabor Transform and Scale Space
   English references for Gabor-Filters and Transformation:
   • Milestone paper of D. Gabor
   • Milestone paper of Daugman for the 2D case
3. Local Frequency Analysis
4. Visual Feature Detection
5. Scale Invariant Feature Transform (Slides @ Stine)
6. Registration (Slides @ Stine)
7. Statistical Pattern Matching
   Please use the slides from the former SNN lecture (german):
   • Basics of Bayesian Decision Theory
   • Pattern Recognition Basics and Examples

Exercises

The exercises are colocated to the course on a roughly twice weekly cycle, solutions will be discussed each tuesday.
Please send your solutions until montay 8 am to me.

References

Additional references will be announced in the course.