| 基于主成分分析变换和提升小波的图像融合 |
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| 引用本文： | 邢鹏昌.基于主成分分析变换和提升小波的图像融合[J].三明学院学报,2012,29(4):24-28,100. |
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| 作者姓名： | 邢鹏昌 |
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| 作者单位： | 福州大学数学与计算机科学学院,福建福州,350108 |
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| 摘 要： | 为了将低分辨率多光谱图像和高分辨率全色图像有效地融合,提出了主成分分析(PCA)变换和提升小波相结合的融合方法。小波提升后选用不同的融合规则对高低频成分进行融合,并与PCA+DWT和HSV+LWT融合法进行了比较,实验结果表明,该方法较好地保留了多光谱图像的光谱特性,提高了空间分辨率。
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| 关 键 词： | 小波变换 PCA变换 图像融合 图像规则 |
Image Fusion Based on Principal Component Analysis Transform and Lifting Wavelet |
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| XING Peng-chang.Image Fusion Based on Principal Component Analysis Transform and Lifting Wavelet[J].Journal of Sanming University,2012,29(4):24-28,100. |
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| Authors: | XING Peng-chang |
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| Institution: | XING Peng-chang (College of Mathematics and Computer Science,Fuzhou university,Fuzhou 350108,China) |
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| Abstract: | In order to fuse a high-resolution panchromatic image and a low-resolution image effectively,a image fusion method by using PCA transform and lifting wavelet is proposed in this paper.After lifting wavelet,the low and high frequency components are fused by using different fusion rules and compared with the PCA+DWT and HSV+LWT fusion method.The experimental results show that the method is better to retain the spectral characteristics of the multispectral image and improve the spatial resolution. |
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| Keywords: | wavelet transform PCA transform image fusion image rule |
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