Visual C++小波变换技术与工程实践（小波变换…

D5/3提升整数小波，可实现图像的无损压缩，包括一维和二维图像整数小波变换-D5/3 integer wavelet upgrade can realize lossless image compression, including the one-dimensional and two-dimensional image integer wavelet transform

在图像中嵌入水印的matlab源代码（cox算法，cdma方式，以及小波变换方式），及嵌入结果图片-image in the watermark embedded in the source code Matlab (cox algorithm, cdma, and the wavelet transform mode), and the results of embedding Photo

尺度函数和小波函数的生成程序-scaling function and wavelet function of generating program

关于二维小波变换的程序 [精华] 说明：此算法重在概念，速度并不是很快。因为FOR循环的缘故。此程序从循环矩阵的观点出发，把圆周卷积和快速幅里叶变换建立了联系。实现了分解和无失真重构。它只做了一层分解，即将256x256图形分解成为64x64的四个图形，避免了使用WKEEP()的困惑。主要思想为用小波滤波器族构造正交阵W,变换写为B=W*A*W ,反变换为：A=W *A*W,这与所有正交变换无异。W为循环正交矩阵，因此可用FFT实现快速运算，难点就在重构矩阵上。若用矩阵概念明确，一个共扼转置可以搞顶。但FFT的使用必须找到与分解序列的关系。-on Wavelet Transform procedures [best] Note : This algorithm important concept is not speed quickly. Because FOR cycle nowadays. This program cycle from the point of view of Matrix, circular convolution and fast Fourier transform is established links. To achieve the decomposition and reconstruction without distortion. It only had one decomposition, 256x256 graphics will be 64x64 decomposition of the four graphics, avoiding the use of WKEEP () confusion. The main idea of using wavelet filter generator orthogonal array W, write to transform B = W* A* W, anti-Transform : A = W* A* W, which is orthogonal transformation all the same. W cycle orthogonal matrix, can be used to achieve rapid FFT computation, on the dif

VC++小波变换技术与工程实践源代码-VC wavelet transform technology and engineering practice source code

用matlab实现的基于小波变换的图像增强去噪-achieved using Matlab based on wavelet transform image enhancement and denoising

小波分析-wavelet analysis

给出了分形计算的源代码的matlab程序，可以迅速帮助大家进行分形的分析与计算，参数容易设置-given fractal calculation of the source code of Matlab procedures, can help you quickly fractal analysis and calculation of parameters of easy setup

小波变换图象压缩的硬件实现原代码,可以对图象进行多及压缩-Wavelet Transform Image Compression Hardware Implementation of the original code, and multi-image compression

小波分析-wavelet analysis