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103-0274-01L 3 Credits BSC D-BAUG
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Image Processing

Bildverarbeitung

Lecturers & Examiners: Prof. Dr. Konrad Schindler
VVZ CR n/a

Last Updated: 2026-06-01 11:33:50

Abstract

Introduction to basic concepts and methods of digital image processing.

Objective

Students - can understand and explain the mathematical and statistical representation of images - understand and recognise digital image processing as a basis for remote sensing, photogrammetry and computer vision - know and understand basic operations for digital image and signal processing - are able to select and apply suitable computational methods for basic image processing tasks - are able to solve image processing tasks with the presented tools

Content

• digital images, signal processing, sampling • geometric transformations • colour and contrast • image filtering, image restoration and enhancement • point- and line detection • similarity measures and image matching

General Information

Language
German
Levels
BSC
Frequency
Yearly recurring

Examination

Type
graded semester performance
Studierende arbeiten in Gruppen und bereiten selbst die Vorlesungen vor. An den Vorlesungsterminen (ca. jede zweite Woche) besteht Anwesenheitspflicht für alle teilnehmenden Studierenden.Wichtig: Alle Studierenden, die am Semesterende noch angemeldet sind, erhalten eine Leistungsbeurteilung. Um aus dem Kurs auszusteigen ist eine fristgerechte Abmeldung notwendig.

Course Components

Type Title Time & Place Hours
lecture with exercise Bildverarbeitung
  • Thu 13:45-15:30 (HIL D 53)
2 h weekly

Offered In