Concordia University

Fellowship Description

Research program title

Restoration of Blurred Images Captured under Insufficient Lighting or Atmospheric Turbulence

Reference number



Program description

Image restoration is widely used in areas involving images such as astronomy, remote sensing, microscopy, medical imaging, photography, surveillance, and HDTV systems. For example, license plates may appear illegible due to motion blur; photographs captured under low-light conditions may suffer from noise; out-of-focus photographs may look blurred; standard TV signals may not be sufficiently sharp for high definition TV sets; archived movies may be corrupted by artifacts and noise; atmospheric distortions may degrade the quality of images in remote sensing. For such cases and in many other scenarios, the importance of image restoration ranges from beneficial to essential. This project will address some of these real life challenges as faced by the IT industry.

Academic qualifications required

  • PhD in Electrical Engineering with research experience in image and video signal processing
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