Prof. Dr.-Ing. Matthias Narroschke

Prof. Dr.-Ing. Matthias Narroschke | Stg. Medientechnik

Postanschrift :

Postfach 3251
65022 Wiesbaden

Besuchsadresse :

Am Brückweg 26
65428 Rüsselsheim

Sprechzeiten :

nach Vereinbarung



Matthias Narroschke received his Dipl.-Ing. degree in electrical engineering in 2001 (with distinction) and the Dr.-Ing. degree in 2008, both from the University of Hannover. From 2001 until 2007 he was a research engineer and teaching assistant at the Institut fuer Informationsverarbeitung of the University of Hannover. He focused his research on video coding, video streaming, and image processing. In 2003, he became the Ober-Ingenieur of the Institut fuer Informationsverarbeitung. In 2007 he joined the Panasonic R&D Center Germany in Langen and became Principal engineer. His responsibilities included video coding standardization activities and the development of future video coding schemes. In 2014 he became a manager for R&D at the VISCODA GmbH with responsibilities including image processing, automatic scene analysis and computer vision for automotive applications. Since February 2017 he is a Professor at the University of Applied Sciences in Wiesbaden, Germany. Since 2008, he has also been serving as a guest lecturer at the University of Hannover for video coding, information theory, and source coding. In 2018, he has been appointed as an Honorary Professor at the Leibniz University of Hannover, Germany. He is named as inventor on more than 100 patents. 

He received the Robert-Bosch-Prize in 2001. Dr. Narroschke is an active contributer to the Motion Picture Experts Group (MPEG) of ISO/IEC SC29 and to the Video coding Experts Group (VCEG) of the ITU-T. He has received the 2017 Primetime Emmy Engineering Award together with other members of the Joint Collaborative Team on Video Coding (JCT-VC) for the development of the HEVC video coding standard.



Core technology adopted in the HEVC video coding standard 

  • Adaptive prediction error coding in the spatial and in the frequency domain,
    which is the core part of the so called "Transform skip" mode of HEVC. 
  • Techniques that enables the deblocking of every block of 8x8 samples in parallel,
    which is a key improvement of the HEVC deblocking filter compared to the one of H.264/MPEG-4 AVC.