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Thermal Imaging Enhancement with Super-Resolution

Objective

High resolution (HR) images are of interest in many fields such as medical imaging, surveillance, and satellite imaging. Signal processing based resolution enhancement methods have been finding increasing use due to the limitations in the physical principles as well as limitations in optics and electronics technology. However, none of the methods in curent use performs satisfactorily when applied
to accurate registration. Robust registration models and solutions for multiple object motion and occlusions should be incorporated into these methods. We propose using a super-resolution (SR) reconstruction algorithm based on least squares (LS) filtering combined with a spatiotemporal classification algorithm. Using these classified images
with corresponding LS filter modes and classes, we intend to generate higher resolution images. Registration and multiple object movements
will be incorporated into different LS filter classes without requiring accurate estimation of these changes. The proposed technique will be demonstrated on surveillance images acquired from thermal imaging sensors.

Field of science

  • /natural sciences/physical sciences/optics
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/signal processing
  • /medical and health sciences/clinical medicine/radiology/medical imaging

Call for proposal

FP7-PEOPLE-IRG-2008
See other projects for this call

Funding Scheme

MC-IRG - International Re-integration Grants (IRG)

Coordinator

ASELSAN ELEKTRONIK SANAYI VE TICARET ANONIM SIRKETI
Address
Mehmet Akif Ersoy Mahallesi 296 Cadde 16
06172 Yenimahalle Ankara
Turkey
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 100 000
Administrative Contact
S. Kubilay Pakin (Dr.)