Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI

Image & Video Processing - Concepts and Techniques (Sommersemester 2022)

Dozent: Dr. Matthias Trapp (Computergrafische Systeme) , Max Reimann (Computergrafische Systeme) , Sumit Shekhar (Computergrafische Systeme)

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 01.04.2022 - 30.04.2022
  • Prüfungszeitpunkt §9 (4) BAMA-O: 28.07.2022
  • Lehrform: Vorlesung / Übung
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Deutsch

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA
  • HCGT: Human Computer Interaction & Computer Graphics Technology
    • HPI-HCGT-K Konzepte und Methoden
  • HCGT: Human Computer Interaction & Computer Graphics Technology
    • HPI-HCGT-T Techniken und Werkzeuge
  • HCGT: Human Computer Interaction & Computer Graphics Technology
    • HPI-HCGT-S Spezialisierung
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-K Konzepte und Methoden
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-T Techniken und Werkzeuge
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-S Spezialisierung
Data Engineering MA
Digital Health MA


This course teaches fundamentals of image and video processing techniques and data representations with selected applications to image and video enhancment and stylization as well as video summarization. Concepts and implementation of processing techniques are part of the lectures and exercises. Course topics include (among others):

  • Introduction to Image and Video Processing
  • Signal Processing and Sampling
  • Point-based Processing Operation
  • Neighborhood-based Processing Operations
  • Global Processing Operations
  • Hardware-accelerated Optimization Techniques
  • Deep Neural Networks for Image and Video Transformations
  • Image and Video Stylization
  • Video Summarization


There are no formal requirements. Successful participation of 3D Computergrafik I+II lectures as well as knowledge of OpenGL and the OpenGL Shading Language is beneficial. 


A script will be published for the lecture, which will be made available in the Moodle system (https://moodle.hpi3d.de) to accompany the lecture.

Lern- und Lehrformen


  • Depending on the number of participants: oral or written exam at the end of the course.
  • The final grade is constituted by the exercise grade (25%) and the exam grade (75%).
  • We plan 3 to 4 exercises.
  • The performance recording process begins with the submission of the first exercise sheet.
  • If students choose to work in a group (maximum 2 students), the group will receive an overall grade, rather than individual grades for each student.


  • Monday, 09:15 - 10:45, A1.2
  • Wednesday, 13:30 - 15:00, HS 3
  • First session will be at 20.04.2022, 13:30, HS3