改进MFO算法2

对于一幅输入图像，将产生一幅输出图像，输出图像的每个像素点的灰度值由输入像素点决定，将感兴趣特征的对比度扩展使之占据可显示灰度级的更大部分。使一输入图像转换为在每一灰度级上都有相同的像素点数，均衡化会减少灰度级数。大多数自然图像由于其灰度值分布集中在较窄的范围之内，引起图像细节不够清楚。采用直方图修正后可使图像的灰度间距拉大或使灰度均匀分布，从而增大了反差，使图像细节清楚，达到增强的目的。(For an input image, will produce an output image, the output image gray value of each pixel from the input pixel decided to expand interest in the contrast of features to make it account for more gray levels can be displayed most. Make an input image is converted to grayscale in each pixel have the same points, equalization will reduce the gray series. Most natural images because of their gray value distribution concentrated in a narrow range, causing the image detail is not clear enough. Make the image histogram revised by the gray space widening or so gray uniform distribution, thereby increasing the contrast between the image details clear objective to achieve enhanced.)

M=512 原图像长度 N=64 K=8 I=zeros(M,M) J=zeros(N,N) BLOCK=zeros(K,K) 显示原图像 I=imread( f:ceshiyuanshitu.bmp ) figure imshow(I) xlabel( 原始图像 ) 显示水印图像 J=imread( f:ceshilogistic_nuaa64.bmp ) figure imshow(J) xlabel( 水印图像 ) 嵌入水印 tem=1 for p=1:N for q=1:N x=(p-1)*K+1 y=(q-1)*K+1 BLOCK=I(x:x+K-1,y:y+K-1) BLOCK=dct2(BLOCK) if J(p,q)==0 a=-1 else a=1 end BLOCK(2,1)=BLOCK(2,1)*(1+a*0.01) BLOCK=idct2(BLOCK) I(x:x+K-1,y:y+K-1)=BLOCK end end 显示嵌入水印后的图像 figure imshow(I) xlabel( 嵌入水印后的图像 ) imwrite(I, f:ceshiembedded.bmp )

该程序是我把上面的Matlab版 ZoomFFT改写成Vc++版,该程序通过编译没有问题,我调用函数(The program is my Matlab version of the above into ZoomFFT rewritten Vc++ version of the program through the compiler there is no problem, I call the function)

说明：  基于MATLAB平台实现两台主机（主机和客户端）之间的TCPIP通信，传递数据(the communication between server and client and then transfer data using TCPIP)

DS_SS的matlab仿真及抗干扰性能分析,很详细(DS_SS of matlab simulation and anti-jamming performance analysis, in great detail)

正弦信号的duffing检测私募林肯仿真模型，非常之精确，望大家下载！(Detection of sinusoidal signal duffing private Lincoln simulation model, very accurate, hope everyone to download!)

自动识别图像中的圆形，并计算半径，及其相似度，希望有所帮助(Automatic identification of image circle, and calculate the radius, and its similarity, Hope that helps)

基于matlab的MIMO多天线系统2*2、3*3、4*4的仿真，有信道容量计算。(matlab code of MIMO system with channel capacity calculation)

说明：  捷联惯导系统放置在室内测试台上做静态测试，测试时间4500s。 1）取前180数据做粗对准（解析对准法）； 2）取第181s~900s数据做精对准（Kalman滤波法）； 3）从第901s开始做纯惯导解算； 4）用国军标的导航系统位置精度评价方法评估系统定位精度（分别计算CEP50 和 CEP95 下的定位精度）。(The strapdown inertial navigation system was placed on the indoor test bench for static test with a test time of 4500s. 1) take the first 180 data for rough alignment (analytical alignment method); 2) accurate alignment of 181s-900s data (Kalman filtering method); 3) pure inertial navigation solution is performed from 901s; 4) the positioning accuracy of the navigation system is evaluated by the method of position accuracy evaluation of the national military standard (the positioning accuracy under CEP50 and CEP95 are calculated respectively).)

This matlab code is for the processing of digital communication codes