[1]LI Yang,JIAO Shuhong,SUN Xintong.Fusion of visual and infrared images based on IHS and wavelet transforms[J].CAAI Transactions on Intelligent Systems,2012,7(6):554-559.
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Fusion of visual and infrared images based on IHS and wavelet transforms

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 6 Page number: 554-559 Column: 学术论文—机器学习 Public date: 2012-12-25
Title:
Fusion of visual and infrared images based on IHS and wavelet transforms
Author(s):
LI Yang;  JIAO Shuhong;  SUN Xintong
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
Keywords:
image fusion;  wavelet transform;  IHS transform;  gray transform;  fusion rule
CLC:
TP391
DOI:
-
Abstract:
The infrared and visual images show different features for the same object, and considering these features this paper proposes an image fusion method based on IHS and wavelet transform. Firstly, the visual image is transformed by the IHS transform, and intensity(I), hue(H), saturation(S) components are obtained, and the infrared image is transformed by gray transform. Secondly, the intensity component and transformed infrared image are decomposed respectively by wavelet transform, different fusion rules are applied to coefficients of low frequency and high frequency. Finally, we could obtain the final fused image by IHS inverse transform. The experimental data shows the image fusion method is effective for the fusion of infrared and visual images and the fused image outperforms the traditional IHS transform method and the traditional IHS combining wavelet transform method. The proposed method can keep a high spatial resolution and rich texture detail information of visual image, and at the same time fuse the heat target that cannot be seen in the visible image while can be observed in the infrared image.
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