小波图象变换的源代码

利用小波变换方法进行多卫星遥感图像数据融合，分析不同长度的小波基对融合图像的影响，从信息的保持性、视觉效果及运用灵活性等方面与IHS、PCA 融合算法进行了比较，从而探讨这一新算法在遥感图像分析应用中的可行性。-Using wavelet transform methods of multi-satellite remote sensing image data fusion, analysis of different wavelet bases on the length of the impact of image fusion, from the maintenance of information, visual effects and the use of flexibility with the IHS, PCA fusion algorithm are compared in order to explore the This new algorithm in the application of remote sensing image analysis feasibility.

对于多个有差频的平行光的干涉，可以产生移动的条纹-multiple optical interference fringe

小波变换的visual c++实现源代码，有效实现了小波的快速变换，得到很好的恢复图像，是个很有价值的源程序。-wavelet transform visual c achieve source code, the effective realization of the fast wavelet transform, well restored images, is a valuable source.

对于PCA ，LDA，BIC，EBGM都有很详细的代码。但是需要在LINUX下配置运行。不过代码较有参考价值。-For PCA, LDA, BIC, EBGM have a very detailed code. But the need to configure to run under LINUX. However, a more useful code.

ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.

采用多种小波基的离散小波变换源码-Wavelet basis using a variety of discrete wavelet transform source

给出了在matlab环境下的源代码，经过了上机调试，可以实现小波变换对图像的二次压缩！-given Matlab environment in the source code, after the Machine, can achieve a wavelet transform of the second image compression!

小波变换的一些源程序-wavelet transform some source

小波图像处理程序-wavelet image processing