1+ #include < stdio.h>
2+ #include < opencv2/opencv.hpp>
3+ 4+ using namespace cv ;
5+ using namespace std ;
6+ 7+ const int MAX=1e4 +79 ;
8+ 9+ int main ()
10+ {
11+ Mat image;
12+ double x[102 ];
13+ double u; // u is the control parameter for chaotic map,also known as population rate
14+ 15+ image = imread ( " encryptedImage.jpg" 1 );
16+ if ( !image.data )
17+ {
18+ printf (" No image data \n "
19+ return -1 ;
20+ }
21+ // Applying Logistic map
22+ u=3.94 ; // It is the condition for logistic map
23+ x[0 ]=0.4 ; // Base condition for logistic map
24+ for (int i = 1 ; i <= 100 ; ++i)
25+ x[i]=u*x[i-1 ]*(1 -x[i-1 ]);
26+ sort (x,x+100 );
27+ 28+ // reading image pixel
29+ int i=1 ;
30+ 31+ for (int r = 0 ; r < image.rows ; ++r) {
32+ for (int c = 0 ; c < image.cols ; ++c) {
33+ if (i>100 )
34+ i=1 ;
35+ int l=x[i]*MAX;
36+ // cout << "Pixel at position (x, y) : (" << c << ", " << r << ") =";
37+ image.at <Vec3b>(r,c)[0 ]=image.at <Vec3b>(r,c)[0 ]^l;
38+ image.at <Vec3b>(r,c)[1 ]=image.at <Vec3b>(r,c)[1 ]^l;
39+ image.at <Vec3b>(r,c)[2 ]=image.at <Vec3b>(r,c)[2 ]^l;
40+ i++;
41+ }
42+ }
43+ namedWindow (" Shubham@shaurya"
44+ imshow (" Shubham@shaurya"
45+ waitKey (0 );
46+ 47+ return 0 ;
48+ }
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