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Journal of Electronic Imaging

Small infrared target detection using frequency-spatial cues in a single image
Author(s): Xiaoliang Sun; Wang Hou; Qifeng Yu; Xiaolin Liu; Yang Shang
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Paper Abstract

This paper describes an approach for small infrared (IR) target detection using frequency-spatial cues. We model the background as spikes of the amplitude spectrum in the frequency domain. Target regions are highlighted through background suppression, and the suppression is realized via convoluting the amplitude spectrum with a low-pass Gaussian kernel of an appropriate scale. A theoretical analysis of the convoluting process in the frequency domain is presented. We note that the high values are attributed to sharp gradients in the IR image. In order to uniformly highlight the target region, the proposed algorithm introduces cues of image segmentation in the spatial domain. Targets are completely preserved in the final result. An image database is built, which is used to test the proposed algorithm. Results show that our algorithm detects small IR targets effectively with a competitive performance over some state-of-the-art techniques, even for images with cluttered backgrounds. In addition, we show that it is able to detect multiple targets with varied sizes, which are challenges for existing algorithms.

Paper Details

Date Published: 4 July 2014
PDF: 10 pages
J. Electron. Imag. 23(4) 043003 doi: 10.1117/1.JEI.23.4.043003
Published in: Journal of Electronic Imaging Volume 23, Issue 4
Show Author Affiliations
Xiaoliang Sun, National Univ. of Defense Technology (China)
Wang Hou, National Univ. of Defense Technology (China)
Qifeng Yu, National Univ. of Defense Technology (China)
Xiaolin Liu, National Univ. of Defense Technology (China)
Yang Shang, National Univ of Defense Technology (China)

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