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Chapter

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Title

Compressively Sensed Thermal Image Panorama with Enchanced Resolution

Authors

[ 1 ] Katedra Systemów Telekomunikacyjnych i Optoelektroniki, Wydział Elektroniki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Year of publication

2014

Chapter type

paper

Publication language

english

Keywords
EN
  • compressive sensing
  • people tracking
  • super-resolution
  • thermal imaging
  • motion analysis
Abstract

EN Thermal Imaging can be really valuable to military, other users of surveillance camera and physicians. Contrary to the usual sampling process where weavers want to sample at the Nyquist rate the Compressive Sensing provides a stricter sampling condition when the signal is known to be sparse or compressible. It turned out that the Nyquist-Shannon theorem is a sufficient condition but not a necessary condition for perfect reconstruction. The compressive sensing field of interest provides a stricter sampling condition when the signal is known to be sparse or compressible. This theorem still struggles with three main problems: sparse representation, measurement matrix and reconstruction algorithm. Unfortunately, thermal image camera resolution is considerably lower than of optical cameras, mostly only 160×120 or 320×240 pixels narrow view. The 360-degree infrared surveillance would be the clear choice. Day or night, the IR Revolution 360 panoramic infrared camera provides instantaneous, long range, wide area, high resolution thermal imaging. The method utilizes double sensor thermal imaging cameras. Moreover the temporal resolution has been enhanced. This paper goal is to keep evolving with compressed sensing and thermal imaging technology.

Pages (from - to)

1 - 4

DOI

10.1109/ICSES.2014.6948733

URL

https://ieeexplore.ieee.org/document/6948733

Book

ICSES 2014 International Conference on Signals and Electronic Systems, Poznan, Poland, September 11-13, 2014

Presented on

ICSES 2014 International Conference on Signals and Electronic Systems, 11-13.09.2014, Poznań, Poland

Publication indexed in

WoS (15)

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