| 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。 |
| 关键词: 图像融合 小波变换 主成份分析 自适应融合权重 |
| DOI：10.3969/j.issn.1001-893X. |
| 投稿时间：2005-09-14修订日期：2005-12-26 |
| 基金项目: |
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| A Wavelet Multi-resolution Image Fusion Method Based on Principle Component Analysis |
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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. |
| Key words: image fusion,wavelet transform,principle component analysis(PCA),adaptive fused weights |
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