简单介绍
本篇介绍和解说怎样在图像中隐藏一些信息。
详细实现
基本流程
一共分为两部分:第一部分是生成隐藏的加密图像,还有一部分是对加密图像解密。显示出被隐藏的信息。
生成加密图像
详细代码
#include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <math.h> #include <string.h> #include <opencv/cv.h> #include <stdio.h> using namespace cv; char normalpicName[20]; Mat mat1, mat2; int normalWidth, normalHeight; IplImage src1, src2; CvScalar s1, s2; void initPic(){ int i, j; mat1 = imread(normalpicName); src1 = mat1; mat2 = imread(normalpicName); src2 = mat2; normalWidth = mat1.rows; normalHeight = mat1.cols; for(i=0; i< normalWidth; i++){ for(j=0; j<normalHeight; j++){ s1 = cvGet2D(&src1, i, j); s2 = cvGet2D(&src2, i, j); if(((int)s1.val[0])%2 != 0){ s1.val[0] = s1.val[0] -1; cvSet2D(&src1, i, j, s1); } if(s2.val[0] == 255){ s2.val[0] = s2.val[0] -1; cvSet2D(&src2, i, j, s2); } } } imshow("mat1", mat1); } void writeWord(){ putText(mat2, "yulinghan", Point(100, 100), FONT_HERSHEY_PLAIN, 3.0, CV_RGB(100,100,255), 2); putText(mat2, "The World!", Point(100, 300), FONT_HERSHEY_PLAIN, 3.0, CV_RGB(100,100,255), 2); imshow("mat2", mat2); } void setPic(){ int i, j; for(i=0; i< normalWidth; i++){ for(j=0; j<normalHeight; j++){ s1 = cvGet2D(&src1, i, j); s2 = cvGet2D(&src2, i, j); if(s2.val[0] == 255){ s1.val[0] = s1.val[0] + 1; cvSet2D(&src1, i, j, s1); } } } imshow("new", mat1); } int main(int argc, char *argv[]){ vector<int> compression_params; if(argc < 2){ printf("Please input first and second picture!\n"); return -1; } memcpy(normalpicName, argv[1], sizeof(argv[1])); initPic(); writeWord(); setPic(); imwrite("new.png", mat1); cv::waitKey(0); return 0; }
代码解说
1、初始化图片。首先首先将源图片分别打开到mat1和mat2中,接着遍历图片元素,将mat1中蓝色分量像素所有设置为偶数, 将mat2中。蓝色分量为255的元素,所有改变为254。
void initPic(){ int i, j; mat1 = imread(normalpicName); src1 = mat1; mat2 = imread(normalpicName); src2 = mat2; normalWidth = mat1.rows; normalHeight = mat1.cols; for(i=0; i< normalWidth; i++){ for(j=0; j<normalHeight; j++){ s1 = cvGet2D(&src1, i, j); s2 = cvGet2D(&src2, i, j); if(((int)s1.val[0])%2 != 0){ s1.val[0] = s1.val[0] -1; cvSet2D(&src1, i, j, s1); } if(s2.val[0] == 255){ s2.val[0] = s2.val[0] -1; cvSet2D(&src2, i, j, s2); } } } imshow("mat1", mat1); }
2、写入须要隐藏的信息,往mat2中写入了字符:"yulinghan","The World!"。相应的字符颜色为CV_RGB(100,100,255)。注意:这个时候在mat2中, 就仅仅有这些字符的颜色,蓝色分量才干达到255。
void writeWord(){ putText(mat2, "yulinghan", Point(100, 100), FONT_HERSHEY_PLAIN, 3.0, CV_RGB(100,100,255), 2); putText(mat2, "The World!", Point(100, 300), FONT_HERSHEY_PLAIN, 3.0, CV_RGB(100,100,255), 2); imshow("mat2", mat2); }
3、进行隐藏、加密操作。遍历mat2,找到全部它蓝色分量为255的元素,然后将mat1上,相同相应位置的蓝色分量由偶数改为奇数。注意:最后被隐藏 的信息位置,就是mat1上相应蓝色分量为奇数的信息位置。
void setPic(){ int i, j; for(i=0; i< normalWidth; i++){ for(j=0; j<normalHeight; j++){ s1 = cvGet2D(&src1, i, j); s2 = cvGet2D(&src2, i, j); if(s2.val[0] == 255){ s1.val[0] = s1.val[0] + 1; cvSet2D(&src1, i, j, s1); } } } imshow("new", mat1); }
4、main函数操作。首先初始化图片元素,接着将须要隐藏的文字信息,写入到mat2中,然后将信息加工隐藏到mat1上,最后将被加工后的mat1保存为 new.png。(注意图片不能用imwrite保存为jpg格式,它会导致mat1中的图像元素发生细微变化,导致加密信息被破坏)。
int main(int argc, char *argv[]){ vector<int> compression_params; if(argc < 2){ printf("Please input first and second picture!\n"); return -1; } memcpy(normalpicName, argv[1], sizeof(argv[1])); initPic(); writeWord(); setPic(); imwrite("new.png", mat1); cv::waitKey(0); return 0; }
结果显示
原始的mat1图像: 写入文字信息后的mat2图像:
被加密之后的mat1图像:
解密显示信息
详细代码
#include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <math.h> #include <string.h> #include <opencv/cv.h> #include <stdio.h> using namespace cv; char normalpicName[20]; Mat mat1; int normalWidth, normalHeight; IplImage src1; CvScalar s1; void getPicInfo(){ int i, j; mat1 = imread(normalpicName); src1 = mat1; normalWidth = mat1.rows; normalHeight = mat1.cols; imshow("old", mat1); for(i=0; i< normalWidth; i++){ for(j=0; j<normalHeight; j++){ s1 = cvGet2D(&src1, i, j); if(((int)s1.val[0]) % 2 != 0){ s1.val[0] = 100; s1.val[1] = 100; s1.val[2] = 255; cvSet2D(&src1, i, j, s1); } } } imshow("new", mat1); } int main(int argc, char *argv[]){ if(argc < 2){ printf("Please input first and second picture!\n"); return -1; } memcpy(normalpicName, argv[1], sizeof(argv[1])); getPicInfo(); cv::waitKey(0); return 0; }
代码解说
1、解密显示图像:相应传入的图像就是之前保存的new.png图像。将它打开到mat1中。接着遍历该图片,将图像蓝色分量上全部是奇数的元素,颜色全都 改为R(255)、G(100)、B(100)。最后将改动解密后图片显示出来。
结果显示
解密前图像: 解密后图像:
来源:https://www.cnblogs.com/yangykaifa/p/7017600.html