DocumentCode :
2043880
Title :
An analysis of a robust super resolution algorithm for infrared imaging
Author :
Wang, Jing ; Ralph, Jason F. ; Goulermas, John Y.
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
fYear :
2009
fDate :
16-18 Sept. 2009
Firstpage :
158
Lastpage :
163
Abstract :
This paper considers the performance of a robust super resolution (SR) algorithm on simulated infrared images containing scenes with very different textures-corresponding to different geographical textures (urban and rural). The aim is to assess the usefulness of the robust SR technique for the detection of small objects in infrared imagery-in the presence of typical image noise and variations in the background scene. The need for accurate (sub-pixel) image registration is stressed and candidate algorithms are proposed.
Keywords :
image registration; image resolution; image texture; infrared imaging; object detection; geographical textures; image noise; image registration; robust super resolution algorithm; simulated infrared images; small object detection; Algorithm design and analysis; Background noise; Image analysis; Image resolution; Infrared detectors; Infrared imaging; Layout; Noise robustness; Object detection; Strontium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of 6th International Symposium on
Conference_Location :
Salzburg
ISSN :
1845-5921
Print_ISBN :
978-953-184-135-1
Type :
conf
DOI :
10.1109/ISPA.2009.5297741
Filename :
5297741
Link To Document :
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