Image & Signal Processing, Computer Vision & Bio-signals

  • Image Communication
  • Multimedia
  • Computer Graphics
  • Pattern Recognition
  • Speech and Audio Processing
  • Medical Imaging

The research in this area is focused on developing algorithms for the representation, transmission, and processing of signals and information. The research encompasses theory, applications, and implementations with contributions in both pure and applied science. Research directions related to this area span a wide range of disciplines, including image processing, image synthesis / computer graphics, low-level vision, bio-inspired vision, physics-based vision, computational photography as well as mid and high-level vision, including search-by-content, pattern recognition and classification. It also includes multimedia and multidimensional signal processing with applications to speech, audio, image and video; statistical and probabilistic analysis of random processes; denoising and robust filter design; analysis and modeling of acoustic signals; system identification and adaptive filtering; geometry-based data analysis and modeling; biomedical signal processing; and computational neuroscience.

Read More

Name Phone Mail Office
All Seminars
All News
The Morton and Beverley Rechler Prize for Excellence in Research for 2021 was awarded to the Prof. Ayellet Tal.
Aug 10,2021

The Morton and Beverley Rechler Prize for Excellence in Research for 2021 was awarded to the Prof. Ayellet Tal.

Prof. Tal is a faculty member at the Viterbi Faculty of Electrical and Computer Engineering at the Technion and...
Congratulations to our faculty member, Prof. Lihi Zelnik-Manor, on her appointment as Executive Vice President  of Innovation and Industrial Relations.
Dec 04,2023

Congratulations to our faculty member, Prof. Lihi Zelnik-Manor, on her appointment as Executive Vice President of Innovation and Industrial Relations.

That is a new position at the Technion, and the new position reflects the Technion’s strategic policy to strengthen...
Skip to content