Improving Infrared Images for Standoff Object Detection

The ability to detect dangerous objects (such as improvised explosive devices) from a distance is important in security and military environments. Standoff imaging can produce images that have been degraded by atmospheric turbulence, movement, blurring and other factors. The number and size of pixel...

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Bibliographic Details
Published inJournal of computing and information technology Vol. 18; no. 2; pp. 151 - 157
Main Authors Hanton, Katherine, Butavicius, Marcus, Johnson, Ray, Sunde, Jadranka
Format Journal Article Paper
LanguageEnglish
Published Sveuciliste U Zagrebu 01.06.2010
Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
Subjects
infrared imaging
performance improvement measure
standoff detection
super-resolution
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Summary:The ability to detect dangerous objects (such as improvised explosive devices) from a distance is important in security and military environments. Standoff imaging can produce images that have been degraded by atmospheric turbulence, movement, blurring and other factors. The number and size of pixels in the imaging sensor can also contribute to image degradation through under-sampling of the image. Establishing processes that enhance degraded or under-sampled infrared images so that objects of interest can be recognised with more certainty is important. Super-resolution image reconstruction and deconvolution methods are explored, as well as performance improvement measures.
Bibliography:59527
ISSN:1330-1136
1846-3908
DOI:10.2498/cit.1001817