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Proceedings Paper

Small target detection in infrared clutter using dark channel prior and improved local entropy
Author(s): Zheng Mao; Le-gong Sun; Yuxin Mao; Anjie Gao; Yue Qin
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Paper Abstract

In this article, we propose an infrared background clutter suppression technique using a similar method with the haze removal algorithm based on dark channel prior. The proposed method introduce some modifications to make the original haze removal algorithm can work in gray-scale infrared image in real-time. In addition, after the background suppression, we address a efficient algorithm for small target detection, which incorporate Box-Filtering technique into traditional small infrared target detecting based on LEA. This improved method reduces a large number of redundant calculations in traditional Local Entropy algorithm by applying the iterative operations instead of using traditional approach. We provide detailed analysis for time complexity and the results of simulation experiments with real world infrared images in the final of this work.

Paper Details

Date Published: 8 September 2011
PDF: 9 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81934B (8 September 2011); doi: 10.1117/12.901079
Show Author Affiliations
Zheng Mao, Beijing Univ. of Technology (China)
Le-gong Sun, Beijing Univ. of Technology (China)
Yuxin Mao, Univ. of Central Lancashire (United Kingdom)
Anjie Gao, Beijing Univ. of Technology (China)
Yue Qin, Beijing Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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