Share Email Print
cover

Proceedings Paper

High-order diffusion equation based infrared image background suppression
Author(s): Hanlin Qin; Shuang Zhang; Huixin Zhou; Jing-guo Zong; Yahong Ma; Rui Lai
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Complex background suppression is a key problem in the detection of the infrared dim small target at far distance. In this paper, a background suppression method for the dim small target detection based on the combination of the high-order diffusion equation and the RX operator is proposed. Firstly, the high-order diffusion equation is applied to decompose the original infrared image, and the multiscale features of the image are extracted. Then, by the fact that the signal coefficients of target are different with that of background clutter in the decomposed sub-image, the RX operator is utilized to separate the dim small target and the background clutter. Two groups of experimental results demonstrate that the complex background can be suppressed by the presented method effectively, whose performance is better than that of the max median (MMed) method. The proposed method can preserve and enhance the infrared target signal effectively whose SCR is greater than 1.7.

Paper Details

Date Published: 15 October 2012
PDF: 6 pages
Proc. SPIE 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy, 84190H (15 October 2012); doi: 10.1117/12.978279
Show Author Affiliations
Hanlin Qin, Xidian Univ. (China)
Shuang Zhang, Xidian Univ. (China)
Huixin Zhou, Xidian Univ. (China)
Jing-guo Zong, Xidian Univ. (China)
Yahong Ma, Xi'an Jiaotong Univ. (China)
Rui Lai, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 8419:
6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy
Yadong Jiang; Junsheng Yu; Zhifeng Wang, Editor(s)

© SPIE. Terms of Use
Back to Top