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Proceedings Paper

An infrared image enhancement algorithm based on HVS
Author(s): Rongkun Xue; Wei He; Jiahui Liu; Yufeng Li
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Paper Abstract

Because the infrared images have the disadvantage of low contrast and fuzzy edges, it is not suitable for us to observe them, so it is necessary to first make enhanced processing before recognition. Though the existing enhancement methods do not take into account the characteristics of HVS, the visual effect of the processed images is not good. Therefore, the paper proposes an enhancement algorithm of infrared images that combine multi-resolution wavelet transform with Retinex theory, it blends with the characteristics of HVS in order to make high-frequency details of infrared images strengthen and illumination uniformity strength and the brightness of IR images moderate. Through experimental results and data analysis, it not only improves the infrared images of low contrast and fuzzy detail, but also suppresses the noise in images to strengthen the overall visual effect of the infrared images.

Paper Details

Date Published: 1 November 2016
PDF: 8 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101572D (1 November 2016); doi: 10.1117/12.2246829
Show Author Affiliations
Rongkun Xue, Guidaojiaotong Polytechnic Institute (China)
Wei He, Shenyang Aerospace Univ. (China)
Jiahui Liu, Guidaojiaotong Polytechnic Institute (China)
Yufeng Li, Shenyang Aerospace Univ. (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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