Anti-halation method of visible and infrared image fusion based on improved IHS-Curvelet transform

被引：0
|
作者：
Guo Q. [1 ]
Wang Y. [1 ]
Li H. [1 ]
机构：
[1] School of Electronic Information Engineering, Xi'an Technological University, Xi'an
来源：
| 2018年 / Chinese Society of Astronautics卷 / 47期
关键词：
Anti-halation; Curvelet transformation; IHS color space; Image fusion;
D O I：
10.3788/IRLA201847.1126002
中图分类号：
学科分类号：
摘要：
In order to solve the problem of driver halation caused by the abuse of high beam lights at night, the anti -halation method of visible and infrared image fusion was proposed based on improved Curvelet transform in IHS color space. The method could effectively express the two-dimensional detail information of the image by improving the Curvelet transform, and improved the image clarity. The proposed fusion strategy of self -adjusting low -frequency coefficient weights could remove the halation information and avoid its participation in the fusion process. The color information in the original image was preserved by combining with the IHS transform to avoid color distortion. Subjective and objective analysis of the experiment results show that the method can eliminate the halation more completely. Compared with IHS-wavelet fusion, standard deviation, average gradient, edge intensity and entropy of the fusion image increase by 47.15%, 53.10%, 52.46% and 4.45%, respectively, its contrast and clarity are significantly enhanced, the details are also more abundant, and the visual effect of the human eye is better. The method is helpful for the driver to observe the road condition ahead, make judgment in advance, eliminate safe hidden trouble and improve the safety of night driving. © 2018, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.
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