matlab-imageprocess

一种改进的LSB Steganography 以抵抗“RS分析法”和GPC Steganalysis(LSB Steganography against RS and GPC)

clear all I=imread( lena.bmp ) figure imshow(I) I2=imrotate(I,-4, bilinear ) 逆时针旋转4度 figure imshow(I2) I3=fliplr(I) 垂直镜像 figure imshow(I3) I4=imresize(I,0.5, bilinear ) 缩小为原图的1/2 figure imshow(I4) A=double(I) 转换为double类型 计算7个不变矩 [nc,nr]=size(A) [x,y]=meshgrid(1:nr,1:nc) 得到网格 x=x(:) y=y(:) A=A(:) m.m00=sum(A) if m.m00==0 m.m00=eps end m.m10=sum(x.*A) m.m01=sum(y.*A) 计算均值 xmean=m.m10/m.m00 ymean=m.m01/m.m00 计算中心矩(li9_23.rar cm.cm00=m.m00 cm.cm02=(sum((y-ymean).^2.*A))/(m.m00^2) cm.cm03=(sum((y-ymean).^3.*A))/(m.m00^2.5) cm.cm11=(sum((x-xmean).*(y-ymean).*A))/(m.m00^2) cm.cm12=(sum((x-xmean).*(y-ymean).^2.*A))/(m.m00^2.5) cm.cm20=(sum((x-xmean).^2.*A))/(m.m00^2) cm.cm21=(sum((x-xmean).^2.*(y-ymean).*A))/(m.m00^2.5) cm.cm30=(sum((x-xmean).^3.*A))/(m.m00^2.5) im(1)=cm.cm20+cm.cm02 im(2)=(cm.cm20-cm.cm02)^2+4*cm.cm11^2 im(3)=(cm.cm30-3*cm.cm12)^2+(3*cm.cm21-cm.cm03)^2 im(4)=(cm.cm30+cm.cm12)^2+(cm.cm21+cm.cm03)^2 im(5)=(cm.cm30-3*cm.cm12)*(cm.cm30+cm.cm12)... *((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)... +(3*cm.cm21-cm.cm03)*(cm.cm21+cm.cm03)... +(3*(cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2) im(6)=(cm.cm20-cm.cm02)*((cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2)... +4*cm.cm11*(cm.cm30+cm.cm12)*(cm.cm21+cm.cm03) im(7)=(3*cm.cm21-cm.cm03)*(cm.cm30+cm.cm12)... *((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)... +(3*cm.cm12-cm.cm30)*(cm.cm21+cm.cm03)... *()

采用多孔trous算法(undecimated wavelet transform)实现小波变换，用的是一维信号 (The use of porous trous algorithm (undecimated wavelet transform) the realization of wavelet transform, using a one-dimensional signal)

模拟光在具有PT-symmetry 的固体结构里的传播，这是当前一个非常前沿的研究领域(The analog light in the spread of the solid structure of the PT-symmetry, which is a very cutting-edge research areas)

it is sample for noise reducing signal

仿真效果非常好，包含特征值与特征向量的提取、训练样本以及最后的识别，小波包分析提取振动信号中的特征频率。( Simulation of the effect is very good, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Wavelet packet analysis to extract vibration signal characteristic frequency.)

符合瑞利包络的杂波功率谱与幅度概率密度函数。(The spectral power spectrum and amplitude probability density function of Rayleigh envelope)

Calculate fundamental frequency

说明：  Needleman-Wunsch algorithm Matlab.

超宽带基础的基本程序,非常不错的小程序,省不少事情啊(the basic procedures, a very good small procedures, many of the things the provincial ah)