700.304 (18W) Fundamentals of Image Processing
Overview
- Lecturer
- Course title german Fundamentals of Image Processing
- Type Lecture - Course (continuous assessment course )
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 26 (50 max.)
- Organisational unit
- Language of instruction English
- Course begins on 03.10.2018
- eLearning Go to Moodle course
Time and place
Course Information
Intended learning outcomes
This is an introductory course to the fundamentals of digital image processing. It provides the basic concepts to learn how to process an image in order to extract the desired information out of it.
By the end, students should:
- be able to apply the basic methods of image processing,
- have a good understanding of image features and object recognition,
- be able to apply the acquired knowledge of image processing to solve related industrial and research problems.
Teaching methodology including the use of eLearning tools
The fundamentals will be presented according to well-known literature and references. An extension to the basics and further details will be presented interactively according to the potentials of the students.
Course content
- Understanding the concept of image (e.g., camera technology, digital images, image types and representation, thermal images)
- Simple image manipulations (e.g., color depth, size, cropping)
- Lens distortion – Camera calibration
- Image filtering and convolutions
- Morphological transformation and thresholding
- Geometric transformations
- Feature detection
- Image registration and stitching
- Image restoration (e.g., de-blurring, interpolations, Fourier domain)
Prior knowledge expected
Basic knowledge of Mathematics (matrices and their operations).
Literature
- Digital Image Processing (third Edition); Rafael C. Gonzalez, Richard E. Woods.
- Computer Vision: Algorithms and Applications; Richard Szeliski.
Intended learning outcomes
This is an introductory course to the fundamentals of digital image processing. It provides the basic concepts to learn how to process an image in order to extract the desired information out of it.
By the end, students should:
- be able to apply the basic methods of image processing,
- have a good understanding of image features and object recognition,
- be able to apply the acquired knowledge of image processing to solve related industrial and research problems.
Teaching methodology including the use of eLearning tools
The fundamentals will be presented according to well-known literature and references. An extension to the basics and further details will be presented interactively according to the potentials of the students.
Course content
- Understanding the concept of image (e.g., camera technology, digital images, image types and representation, thermal images)
- Simple image manipulations (e.g., color depth, size, cropping)
- Lens distortion – Camera calibration
- Image filtering and convolutions
- Morphological transformation and thresholding
- Geometric transformations
- Feature detection
- Image registration and stitching
- Image restoration (e.g., de-blurring, interpolations, Fourier domain)
Prior knowledge expected
Basic knowledge of Mathematics (matrices and their operations).
Literature
- Digital Image Processing (third Edition); Rafael C. Gonzalez, Richard E. Woods.
- Computer Vision: Algorithms and Applications; Richard Szeliski.
Examination information
Examination methodology
Written Exam.
(Class activities and answering questions will be extra points and will help if you do not perform well at the final exam).
Examination topic(s)
From the topics covered by the lectures during the course.
Assessment criteria / Standards of assessment for examinations
Mainly conceptual questions with different difficulty range.
Few multiple choices may be included.
Examination methodology
Written Exam.
(Class activities and answering questions will be extra points and will help if you do not perform well at the final exam).
Examination topic(s)
From the topics covered by the lectures during the course.
Assessment criteria / Standards of assessment for examinations
Mainly conceptual questions with different difficulty range.
Few multiple choices may be included.
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 17W.1)
-
Subject: Information Technology
(Compulsory elective)
-
2.6 Bildverarbeitung (
2.0h VC / 3.0 ECTS)
- 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS) Absolvierung im 5. Semester empfohlen
-
2.6 Bildverarbeitung (
2.0h VC / 3.0 ECTS)
-
Subject: Information Technology
(Compulsory elective)
- Bachelor's degree programme Applied Informatics
(SKZ: 511, Version: 12W.1)
-
Subject: Information Technology
(Compulsory elective)
-
Bildverarbeitung (
2.0h VO / 3.0 ECTS)
- 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
-
Bildverarbeitung (
2.0h VO / 3.0 ECTS)
-
Subject: Information Technology
(Compulsory elective)
- Bachelorstudium Informationstechnik
(SKZ: 289, Version: 17W.1)
-
Subject: Informationstechnische Vertiefung
(Compulsory elective)
-
10a.3 Wahl von Lehrveranstaltungen (
0.0h VO/VC/KS/UE / 6.0 ECTS)
- 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
-
10a.3 Wahl von Lehrveranstaltungen (
0.0h VO/VC/KS/UE / 6.0 ECTS)
-
Subject: Informationstechnische Vertiefung
(Compulsory elective)
- Bachelor's degree programme Information Technology
(SKZ: 289, Version: 12W.2)
-
Subject: Informationstechnische Vertiefung
(Compulsory elective)
-
Wahl von Lehrveranstaltungen (
0.0h VK/VO/KU / 6.0 ECTS)
- 700.304 Fundamentals of Image Processing (2.0h VC / 3.0 ECTS)
-
Wahl von Lehrveranstaltungen (
0.0h VK/VO/KU / 6.0 ECTS)
-
Subject: Informationstechnische Vertiefung
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
- 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
- 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
- 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
- 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
- Masterstudium Mathematics
(SKZ: 401, Version: 18W.1)
-
Subject: Information and Communications Engineering
(Compulsory elective)
-
9.4 Fundamentals of Image Processing (
2.0h VC / 4.0 ECTS)
- 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
-
9.4 Fundamentals of Image Processing (
2.0h VC / 4.0 ECTS)
-
Subject: Information and Communications Engineering
(Compulsory elective)
Equivalent courses for counting the examination attempts
-
Wintersemester 2023/24
- 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2022/23
- 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2021/22
- 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2020/21
- 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2019/20
- 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2017/18
- 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2016/17
- 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2015/16
- 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2014/15
- 700.304 VK Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2013/14
- 700.304 VK Fundamentals of Image Processing (2.0h / 4.0ECTS)
-
Wintersemester 2012/13
- 700.304 VK Fundamentals of Image Processing (2.0h / 4.0ECTS)