matlab小波变换图像处理实现程序

1、（到学校的维普网上查找基于形态学的小波变换图像去噪方法研究论文）matlab小波变换图像处理实现程序%这个是2D-DWT的函数，是haar小波%c是图像像素矩阵 steps是变换的阶数function dwtc = dwt_haar(c, steps)% DWTC = CWT_HARR(C) - Discrete Wavelet Transform using Haar filter% M D Plumbley Nov 2003N = length(c)-1; % Max index for filter: 0 . N% If no steps to do, or the sequence i

2、s a single sample, the DWT is itselfif (0=N | steps = 0) dwtc = c; returnend% Check that N+1 is divisible by 2if (mod(N+1,2)=0) disp(Not divisible 2: num2str(N+1); returnend% Set the Haar analysis filterh0 = 1/2 1/2; % Haar Low-pass filterh1 = -1/2 1/2; % Haar High-pass filter% Filter the signallowp

3、ass_c = conv(h0, c);hipass_c = conv(h1, c);% Subsample by factor of 2 and scalec1 = sqrt(2)*lowpass_c(2:2:end);d1 = sqrt(2)*hipass_c(2:2:end);% Recursively call dwt_haar on the low-pass part, with 1 fewer stepsdwtc1 = dwt_haar(c1, steps-1);% Construct the DWT from c1 and d1dwtc = dwtc1 d1;% Doneretu

4、rn- 分割线 -调用这个函数的例子 下面的东西放在另一个文档里 读入一个图像 lena 应该是个最基础的图像了之后分别作0阶 和 1阶 2D-DWT 的变换改变阶数 可以做更高阶的clear allim = imreadreal(lena.bmp); %read image data% Plotfiguredwt2_step0=dwt2_haar(im, 0); %2D DWT step=0imagesc(dwt2_step0);colormap gray; axis image;figuredwt2_step1=dwt2_haar(im, 1); %2D DWT step=1imagesc(dwt2_st