用了比较简单的方法实现了一层、二层、三层小波变换和小波变换逆变换。主要是运用了图像的差分实现的小波变换！-with a relatively simple method of a layer, two-story, three-tier wavelet transform and wavelet transform inversion. Mainly through the image to achieve the difference wavelet transform!

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 sou

此示意程序用DWT实现二维小波变换，并研究原始图像与重构图像的区别-This signaled the program to two-dimensional wavelet transform, and study the difference between the original image and the reconstructed image using DWT

中国科学技术大学小波变换实验源代码，包括离散小波变换、二维小波变换、双尺度差分方程迭代求解以及图像压缩-University of Science and Technology of China experimental wavelet transform source code, including the discrete wavelet transform two-dimensional wavelet transform, two-scale difference equation it