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Proceedings Paper

A novel contrast enhancement algorithm in IR imaging systems
Author(s): Xiaoming Chen; Shusheng Yu; Yujue Li; Chao Di; Yi Cao
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Paper Abstract

The contrast enhancement of infrared image is useful and important to the infrared image system. The current techniques of local enhancing exists either over-enhancing or high complexity problems. In this paper, we propose a novel contrast enhancement algorithm which combines histogram equalization based methods (HEBM) and an improved unsharp masking based methods (UMBM). This proposed algorithm uses HEBM to achieve global contrast enhancement and UMBM to achieve local contrast enhancement. Some elaborate strategies are applied to the algorithm to avoid the overenhancement and magnification of noise when contrast is enhanced. The article is organized as follows. First, we review the techniques developed in the literature for contrast enhancement. After then, we introduce the new algorithm in details. The performance of the proposed method is studied on experimental IR data and compared with those yielded by two well established algorithms. The developed algorithm has good performance in global contrast and local contrast enhancement with noise and artifact suppression.

Paper Details

Date Published: 28 November 2011
PDF: 6 pages
Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 82000U (28 November 2011); doi: 10.1117/12.903843
Show Author Affiliations
Xiaoming Chen, Beijing Institute of Technology (China)
North System Engineering Institute (China)
Shusheng Yu, North System Engineering Institute (China)
Yujue Li, North System Engineering Institute (China)
Chao Di, North System Engineering Institute (China)
Yi Cao, North System Engineering Institute (China)


Published in SPIE Proceedings Vol. 8200:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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