Program from mobile broadcasting environment

一个关于图像边缘检测的实用程序-A practical program for image edge check

用C++编写的基于提升结构的9/7离散小波变换，边界处理采用的是嵌入式对称结构。-With C++ Prepared to upgrade the structure based on the 9/7 discrete wavelet transform, boundary treatment is used in embedded symmetric structure.

多尺度分析的图象处理技术，是目前比较新的一种处理方法。-multiscale analysis of image processing technology, is a relatively new approach.

it is a function of wavelet transform

小波压缩解压演示-wavelet compression decompression demo

这是小波变换的好多算法，有需要的，可以参考-This is a lot of wavelet transform algorithm, there is a need, and can refer to

运动图象压缩编码中的三层小波分解-moving image coding wavelet decomposition of the three-tier

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!

基于图象小波变换的图象编码的经典算法．程序中包括压缩和解压缩的过程，有可执行的示例． -spiht

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