polyphase implementation of biorthogonal wavelet transform

本程序实现二维灰度图像的小波变换和逆变换。 直接运行本目录下的批处理程序run即可。 用户需自己输入以下参数： 1. 图像文件名(lena.bmp，若使用其它图像请先放入本目录下) 2. 选用的小波名称(本程序中可使用haar及db2-db5) 3. 小波变换的级数。 运行结束后小波变换与逆变换结果分别保存在dec.bmp与rec.bmp中。-This procedure realize two-dimensional gray-scale image wavelet transform and inverse transform. Catalog under the direct operation of a batch process can run. Users need their own, enter the following parameters: 1. Image file name (lena.bmp, if the use of other images, please Add Catalog under) 2. Wavelet chosen name (This procedure can be used haar and db2-db5) 3. Wavelet Transform series. Run after the wavelet transform and inverse transform results are stored in dec.bmp in with rec.bmp.

这是我用C做的基于小波变换的零树编码-This is what I do with C based on wavelet transform coding Zerotree

一种可实际应用的基于小波分析的数字水印方法。已通过验证。-A practical application of wavelet analysis based on digital watermarking methods. Has been verified.

实现了方波、正弦波、三角波的输出，同时在LCD模块中用状态机的方法实现LCD的对应显示：当输出正弦波，LCD显示“SIN”；当输出方波，LCD显示“REC”；当输出三角波，显示“TRI”；复位和其它位置波形显示“UNI”。-Realize a square wave, sine wave, triangle wave output, while in the LCD module using the state machine approach to achieve the corresponding LCD display: When the output sine wave, LCD display

小波图象处理软件- Wavelet imagery processing software

利用小波对图像进行区域缩放-Using Wavelet image scaling region

利用matlab进行维娜虑波得分析与处理-using Matlab for consideration Wei-na-in analysis and treatment

一个简单但很好用的整数提升小波，可直接对图象变换，采用53或97小波-a simple but well rounded upgrade the wavelet can directly transform the image using wavelet 53 or 97

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

intel JPEG2000，需要IPP