Visible and Infrared Image Fusion Using the Lifting Wavelet
Visible and Infrared Image Fusion Using the Lifting Wavelet
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DOI：
10.11591/telkomnika.v11i11.2898
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发表时间：
2013-11
影响因子：
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通讯作者：
Yuelin Zou;Xiaoqiang Liang;Tongming Wang
中科院分区：
文献类型：
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作者：
Yuelin Zou;Xiaoqiang Liang;Tongming Wang
近年来，图像融合在图像处理领域发挥着至关重要的作用。融合后的图像在图像分割、图像增强等方面有很大的应用价值，为了提高同一场景下可见光和红外图像的融合效果，提出了一种基于提升小波域的图像融合方法。首先，利用提升小波域变换对源图像进行分解。其次，采用基于归一化香农熵的加权平均方法对可见光和红外图像的低频提升小波系数进行融合。利用局部能量极大值的融合规则对相应的高频系数进行组合。在对源图像的低、高频系数进行融合后，利用逆LWT得到最终的融合图像。实验表明，与拉普拉斯变换和传统小波变换等图像融合方法相比，该方法具有更好的主客观融合效果。DOI：http://dx.doi.org/10.11591/telkomnika.v11i11.2898全文：
In recent years image fusion plays a vital role in the image processing area. Fused images would help in doing many applications in image processing like segmentation, image enhancement and many.In order to improve the effect of fusion visible and infrared image images of the same scene, this paper presents an image fusion method based on lifting wavelet domain. Firstly, the source images are decomposed using lifting wavelet domain transform (LWT). Secondly, a weighted average approach based on normalized Shannon entropy is used to fuse low frequency lifting wavelet coefficients of the visible and infrared images. The fusion rule of local energy maximum is used to combine corresponding high frequency coefficients. After fusing low and high frequency coefficients of the source images, the final fused image is obtained using the inverse LWT. The experiments show that the proposed method provides improved subjective and objectives results as compared to previous image fusion methods such as Laplacian transform and traditional Wavelet transform. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.2898 Full Text: PDF