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首页> 外文期刊>Signal Processing, IET >Fusion technique for grey-scale visible light and infrared images based on non-subsampled contourlet transform and intensity-hue-saturation transform
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Fusion technique for grey-scale visible light and infrared images based on non-subsampled contourlet transform and intensity-hue-saturation transform

机译:基于非下采样Contourlet变换和强度-色相-饱和度变换的灰度可见光与红外图像融合技术

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摘要

An adaptive fusion technique based on non-subsampled contourlet transform (NSCT) and intensity-hue-saturation (IHS) transform is presented. First, the grey-scale visible light image is colourised by utilising a reference image, and then, the values of components I, H and S can be obtained via IHS transform, which can separate intensity information from spectrum information of the image. Second, multi-scale and multi-directional decompositions of the infrared image and the component I of the grey-scale visible light image are performed by NSCT. By adopting certain fusion rules, the lowfrequency and high-frequency components of the fused image can be achieved. Third, being the component I of the final fused image, the grey-scale fused image can be gained by the use of inverse NSCT. Finally, the red-green-blue colourised fused image is reconstructed by the inverse IHS. Experimental results show that the technique is effective.
机译:提出了一种基于非下采样轮廓波变换(NSCT)和强度色相饱和度(IHS)变换的自适应融合技术。首先,利用参考图像对灰度可见光图像进行着色,然后可以通过IHS变换获得分量I,H和S的值,从而可以将强度信息与图像的光谱信息分开。其次,通过NSCT对红外图像和灰度可见光图像的分量I进行多尺度和多方向分解。通过采用某些融合规则,可以实现融合图像的低频分量和高频分量。第三,作为最终融合图像的分量I,可以通过使用反NSCT获得灰度融合图像。最后,通过逆IHS重建红绿蓝彩色融合图像。实验结果表明该技术是有效的。

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  • 来源
    《Signal Processing, IET》 |2011年第1期|p.75-80|共6页
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  • 作者单位

    Department of Computer Engineering, Missile Institute, Air Force Engineering University, Sanyuan Xi'an, Shaanxi 713800, People's Republic of China;

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