| 基于PCA的小波多分辨图像融合方法 |
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| 引用本文： | 陈怀新,王连亮.基于PCA的小波多分辨图像融合方法[J].国际商务研究,2006,46(1):79-82. |
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| 作者姓名： | 陈怀新 王连亮 |
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| 作者单位： | 中国西南电子技术研究所,成都610036 |
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| 摘 要： | 提出小渡多分辨率下主成份分析（PCA）的图像融合方法。首先利用小波变换对融合图像进行多分辨率分解，然后利用主成份分析方法确定图像小波低频近似系数的洎适应融合权重，采用局部区域“能量”法进行小渡高频细节系数的融合，最后将小波融合系数逆变换实现图像的融合处理。实验结果证实融合图像的目标特征突出，易于目视解译。
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| 关 键 词： | 图像融合 小波变换 主成份分析 自适应融合权重 |
| 收稿时间： | 2005/9/14 0:00:00 |
| 修稿时间： | 2005/12/26 0:00:00 |
A Wavelet Multi-resolution Image Fusion Method Based on Principle Component Analysis |
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| CHEN Huai-xin,WANG Lian-liang.A Wavelet Multi-resolution Image Fusion Method Based on Principle Component Analysis[J].International Business Research,2006,46(1):79-82. |
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| Authors: | CHEN Huai-xin WANG Lian-liang |
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| Affiliation: | Southwest China Institute of Electronic Technology, Chengdu 610036,China |
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| Abstract: | An image fusion method of wavelet multiresolution based on principle component analysis(PCA) is presented.A pair of images are decomposed using wavelet transform,adaptive fusion weight value for the coefficients of wavelet approximations are resolved using PCA,the coefficients of wavelet details are fused by local wavelet energy,then images are fused by inverse transform of fusion wavelet coefficients.The experimental results show the fused image is of obvious feature,visibility and image interpretation. |
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| Keywords: | image fusion wavelet transform principle component analysis(PCA) adaptive fused weights |
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