提出一种基于主成分分析(PCA)分解的图像融合框架。对源图像进行主成分分析,依据前几个主成分重建图像,经过下采样过程得到近似图像,对近似图像进行上采样,得到上层图像的差异图像(即细节图像),将最底层近似图像与各层细节图像进行累加完成图像的重构-The proposed fusion framework based on principal component analysis (PCA) decomposition. Principal component analysis of the source image, the reconstructed image based on the first few principal components, after down-sampling process to obtain an approximate image sampling, approximate image on the upper image difference image (image details), the lowest level of approximation of the image and layers of the details of image accumulation to complete the image reconstruction