Photo credit: Anna Logue

Image Processing

Contents

In this course, we teach the fundamentals of image processing, starting from the human visual system and the basics of digital image acquisition. The goal is to understand the technical and theoretical basis of image processing and to be able to implement basic algorithms in practice.

Time and Location

  • Monday, 10:15 to 11:45, Room: B 6, A204, Start: 3.9..2018
  • Monday, 12:00 to 13:30, Room: B 6, A204

Final mark

  • Oral Exam

Participation

  • The course is open to students of the Master Business Informatics, Master Business Mathematics and Mannheim Master in Data Science (MMDS). 
  • The course is restricted to 30 participants.
  • Places are assigned on first come/first serve basis.
  • Students register for the course by email to me. If you have sent me an email and NOT received a personal reply, this means that I reserved sour seat!
  • Slides and Excercises

    • provided in ILIAS
  • Requirements

    • Basic programming skills in C++ are beneficial for the exercise.
    • Basics in linear algebra are beneficial for the lecture
  • Outline

    Week

    Topic

    03.09.2018

    General Remarks

    Human Visual System

    10.09.2018

    Basics of Imaging

    17.09.2018

    Noise and Basic Image Operations

    24.09.2018

    Edge Detection and Scale Pyramid Models

    01.10.2018

    Energy Minimization

    08.10.2018

    Variational Optimization

    15.10.2018 Variational Optimization (2)
    22.10.2018 Image Segmentation: Superpixel Methods
    29.10.2018 Image Segmentation: Level-Sets

    05.11.2018

    Image Segmentation: 3D Parametric Models

    12.11.2018

    Motion and Optical Flow

    19.11.2018

    Stereo Vision and Structure from Motion

    26.11.2018

    Stereo Vision and Structure from Motion (2)

    03.12.2018  Q & A
  • Literature

  • Software

    • C++
    • Matlab