u013322443的专栏

Research Journal of Applied Sciences Year: 2010 | Volume: 5 | Issue: 5 | Page No.: 352-360 DOI: 10.3923/rjasci.2010.352.360     A Comparison Between Haar Wavelet Transform a

function y=haar_kron(N) % 2^n=N ,n=1,2,3······· y=1; a=[1,1]; b=[1,-1]; k=1; while(k<N) yy=diag(ones(1,k)); y=[kron(y,a);kron(yy,b)]; k=k*2; end for i=1:N y(i,1:end)=y(i,1:end)/sqrt(sum(abs(y(i,1:en

Probably the simplest useful energy compression process is the Haar transform. In 1-dimension, this transforms a 2-element vector (x(1)x(2))T into (y(1)y(2))Tusing: (y(1)y(2))=T(x(1)x(2)) (1

clc;clear; a=imread('mm.jpg'); figure,imshow(a); map=colormap; nbcol=size(map,1); R=double(a(:,:,1)); % 真彩色图像的三个分量转换成double 格式 G=double(a(:,:,2)); B=double(a(:,:,3)); tic; wname='db1'; % 选取的小波 t1=[];

path = 'C:\Program Files\MATLAB\R2013a\bin\Original_Images\DIP3E_Original_Images_CH10\'; fileExt = '*.tif'; files = dir(fullfile(path,fileExt)); len = size(files,1); n=0; for i=1:len fileName = st

function [gb_R,gb_I]=gabor_wt(lambda,theta,m,gamma,a,psi,b,delta) %[gb_R,gb_I]=gabor_wt(kx,ky,theta,lambda,m,a,psi,delta) %lambda 为函数波长 %theta 为gabor 核函数的方向 %psi 为相位偏移 %sigma 为高斯函数的标准差 %gamma Th