Introduction to Image Processing

Module Code
Module Coordinators
Aristovoulos Christidis
Aristovoulos Christidis
Short Description
Algorithms and Calculation Methods for Image Enhancement, Approaches to Image Evaluation and Feature Extraction.
Learning Objectives

The students know the most significant principles of image processing and their applications and have implemented their own simple image processing system in C. While exploring filtering process they have learned to regard mathematics as a tool for the treatment of signals and to use and, conversely, to realize image processing processes as visualization of calculations. In group work, they learned how abstract formulas can get elements of intuitive communication over visual effects within a semester. Since they have met all the development steps of the desired effect on his mathematical formulation to its coding, they are capable of (some times independently) to recognize the professional "depth" of their interlocutor.

  • Image Digitization, Sampling Theorem
  • Pixel / Global Operations
  • Image Transforms in Space and Frequency Domain
  • Linear / Nonlinear Image Filtering
  • Segmentation
  • Contour Extraction
Duration in Semester
Instruction Language
Total Effort
6 CrP; an estimated 180 hours, of which approximately 60 are spent in class.
Weekly School Hours
Method of Instruction

Lecture 2 SWS, Exercises 2 SWS

Requirements for the awarding of Credit Points

Examination prerequisite: Single approved exercises

Examination: Written examination

Evaluation Standard
according to examination regulations (§ 9)
  • R. C. Gonzalez, R. E. Woods: Digital Image Processing Prentice Hall
  • J. C. Russ: The Image Processing Handbook IEEE Press
  • A. Nischwitz, P. Haberäcker et al.: Computergrafik und Bildverarbeitung, Vieweg+Teubner
Numerics, programmming skills (C is preferred)