Added all benchmaring scripts and codes

benchmarking/compile_benchmarks.sh

@@ -0,0 +1,5 @@
+g++ -std=c++11 mae.cpp -o mae `pkg-config opencv --cflags --libs`
+g++ -std=c++11 npcr_uaci.cpp -o npcr_uaci `pkg-config opencv --cflags --libs`
+g++ -std=c++11 mse.cpp -o mse `pkg-config opencv --cflags --libs`
+g++ -std=c++11 resize.cpp -o resize `pkg-config opencv --cflags --libs`
+g++ -std=c++11 pixel_replace.cpp -o pixel_replace `pkg-config opencv --cflags --libs`

benchmarking/entropy_2.py

@@ -0,0 +1,8 @@
+from skimage import io
+import skimage.measure
+import sys
+
+img = io.imread(sys.argv[1])
+entropy = skimage.measure.shannon_entropy(img)
+print("\nentropy = " + str(entropy))
+

benchmarking/img_diff.cpp

@@ -0,0 +1,55 @@
+#include <iostream> /*For IO*/
+#include <cstdlib>  /*For standard C functions*/
+#include <cstring>  /*For char * strings */
+#include <cmath>
+#include <cstdio>
+#include <opencv2/opencv.hpp> /*For OpenCV*/
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+
+using namespace std;
+using namespace cv;
+
+int main(int argc, char *argv[])
+{
+  cv::Mat img1 = cv::imread(std::string(argv[1]));
+
+  if(!img1.data)
+  {
+    cout<<"\nCould not load image from "<<argv[1]<<"\nExiting...";
+    exit(0);
+  }
+
+
+  cv::Mat img2 = cv::imread(std::string(argv[2]));
+
+  if(!img2.data)
+  {
+    cout<<"\nCould not load image from "<<argv[2]<<"\nExiting...";
+    exit(0);
+  }
+
+  int diff = 0;
+  int m = (int)img1.rows;
+  int n = (int)img1.cols;
+  int channels = (int)img1.channels();
+  int cnt = 0;
+
+  for(int i = 0; i < m; ++i)
+  {
+    for(int j = 0; j < n; ++j)
+    {
+      for(int k = 0; k < channels; ++k )
+      {
+        diff = img1.at<Vec3b>(i, j)[k] - img2.at<Vec3b>(i, j)[k];
+        if(diff != 0)
+        {
+          ++cnt;
+        }
+      }
+    }
+  } 
+
+  cout<<"\nNumber of differences = "<<cnt; 
+  return 0;
+}

benchmarking/mae.cpp

@@ -0,0 +1,60 @@
+#include <iostream> /*For IO*/
+#include <cstdlib>  /*For standard C functions*/
+#include <cstring>  /*For char * strings */
+#include <cmath>
+#include <cstdio>
+#include <opencv2/opencv.hpp> /*For OpenCV*/
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+
+using namespace std;
+using namespace cv;
+
+/**
+ * Calculates the Mean Absolute Error between the plain image and the encrypted image
+ */
+
+static inline void MAE(cv::Mat img1,cv::Mat img2,int m,int n,int ch) 
+{
+  double init = 0,sum_mae = 0;
+
+  for(int i = 0; i < m; ++i)
+  {
+    for(int j = 0; j < n; ++j)
+    {
+      for(int k = 0; k < ch; ++k)
+      {
+
+        init = (double)img1.at<Vec3b>(i,j)[k] - img2.at<Vec3b>(i,j)[k];
+        sum_mae += fabs(init);
+
+      }
+    }
+  }
+
+  sum_mae = (sum_mae) / (m * n * ch);
+  printf("\nMAE = %F",sum_mae);
+
+}
+
+int main(int argc,char *argv[])
+{
+  std::string image_name_1 = std::string(argv[1]);
+  std::string image_name_2 = std::string(argv[2]);
+
+  cv::Mat img1 = cv::imread(image_name_1,cv::IMREAD_UNCHANGED);
+  cv::Mat img2 = cv::imread(image_name_2,cv::IMREAD_UNCHANGED);
+
+
+
+  int m = img1.rows;
+  int n = img1.cols;
+  int ch = img1.channels();
+
+  cout<<"\nRows =  "<<m;
+  cout<<"\nColumns = "<<n;
+  cout<<"\nChannels = "<<ch;
+  MAE(img1,img2,m,n,ch);
+
+  return 0;
+}

benchmarking/mse.cpp

@@ -0,0 +1,59 @@
+#include <iostream> /*For IO*/
+#include <cstdlib>  /*For standard C functions*/
+#include <cstring>  /*For char * strings */
+#include <cmath>
+#include <cstdio>
+#include <opencv2/opencv.hpp> /*For OpenCV*/
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+
+using namespace std;
+using namespace cv;
+
+/**
+ * Calculates the Mean Squared Error between the corresponding plain images of 2 encrypted images, one of which is noisy
+ */
+
+static inline void MSE(cv::Mat img1,cv::Mat img2,int m,int n,int ch) 
+{
+  double init = 0,sum_mse = 0;
+
+  for(int i = 0; i < m; ++i)
+  {
+    for(int j = 0; j < n; ++j)
+    {
+      for(int k = 0; k < ch; ++k)
+      {
+
+        init = (double)img1.at<Vec3b>(i,j)[k] - img2.at<Vec3b>(i,j)[k];
+        sum_mse += fabs(init);
+
+      }
+    }
+  }
+
+  sum_mse = (sum_mse * 100) / (m * n * ch);
+  printf("\nMSE = %F",sum_mse);
+
+}
+
+int main(int argc,char *argv[])
+{
+  std::string image_name_1 = std::string(argv[1]);
+  std::string image_name_2 = std::string(argv[2]);
+
+  cv::Mat img1 = cv::imread(image_name_1,cv::IMREAD_UNCHANGED);
+  cv::Mat img2 = cv::imread(image_name_2,cv::IMREAD_UNCHANGED);
+
+  int m = img1.rows;
+  int n = img1.cols;
+  int ch = img1.channels();
+
+  cout<<"\nRows =  "<<m;
+  cout<<"\nColumns = "<<n;
+  cout<<"\nChannels = "<<ch;
+
+  MSE(img1,img2,m,n,ch);
+
+  return 0;
+}

benchmarking/npcr_uaci.cpp

@@ -0,0 +1,66 @@
+#include <iostream> /*For IO*/
+#include <cstdlib>  /*For standard C functions*/
+#include <cstring>  /*For char * strings */
+#include <cmath>
+#include <cstdio>
+#include <opencv2/opencv.hpp> /*For OpenCV*/
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+
+using namespace std;
+using namespace cv;
+
+/**
+ * Calculates the Number of Pixels Change Rate between two encrypted images whose corresponding plain images differ by a single pixel
+ */
+
+static inline void NPCR_UACI(cv::Mat img1,cv::Mat img2,int m,int n,int ch) 
+{
+  double NPCR = 0,UACI = 0,init = 0,sum = 0,sum_uaci = 0;
+
+  for(int i = 0; i < img1.rows; ++i)
+  {
+    for(int j = 0; j < img1.cols; ++j)
+    {
+      for(int k = 0; k < img1.channels(); ++k)
+      {
+
+        init = (double)img1.at<Vec3b>(i,j)[k] - img2.at<Vec3b>(i,j)[k];
+        sum_uaci += fabs(init);
+        if(img1.at<Vec3b>(i,j)[k] != img2.at<Vec3b>(i,j)[k])
+        {
+          NPCR = 1;
+          sum += NPCR;
+        }
+      }
+    }
+  }
+
+  sum = (sum * 100) / (m * n * ch);
+  printf("\nNPCR = %F",sum);
+  sum_uaci = sum_uaci / (m * n * 255 * ch);
+  printf("\nUACI = %F",sum_uaci * 100);
+}
+
+int main(int argc,char *argv[])
+{
+  std::string image_name_1 = std::string(argv[1]);
+  std::string image_name_2 = std::string(argv[2]);
+
+  cv::Mat img1 = cv::imread(image_name_1,cv::IMREAD_UNCHANGED);
+  cv::Mat img2 = cv::imread(image_name_2,cv::IMREAD_UNCHANGED);
+
+
+
+  int m = img1.rows;
+  int n = img1.cols;
+  int ch = img1.channels();
+
+  cout<<"\nRows =  "<<m;
+  cout<<"\nColumns = "<<n;
+  cout<<"\nChannels = "<<ch;
+
+  NPCR_UACI(img1,img2,m,n,ch);
+
+  return 0;
+}

benchmarking/resize.cpp

@@ -0,0 +1,47 @@
+#include <iostream> /*For IO*/
+#include <cstdlib>  /*For standard C functions*/
+#include <cstring>  /*For char * strings */
+#include <cmath>
+#include <cstdio>
+#include <opencv2/opencv.hpp> /*For OpenCV*/
+#include <opencv2/core/core.hpp>
+#include <opencv2/highgui/highgui.hpp>
+
+using namespace std;
+using namespace cv;
+/**
+ * Resize an image
+ */
+static inline std::string getFileNameFromPath(std::string filename)
+{
+  const size_t last_slash_idx = filename.find_last_of("\\/");
+  if (std::string::npos != last_slash_idx)
+  {
+    filename.erase(0, last_slash_idx + 1);
+  }
+
+  // Remove extension if present.
+  const size_t period_idx = filename.rfind('.');
+  if (std::string::npos != period_idx)
+  {
+    filename.erase(period_idx);
+  }
+
+  return filename;
+}
+
+int main(int argc,char *argv[])
+{
+  std::string image_path = std::string(argv[1]);
+  std::string image_name = getFileNameFromPath(image_path);
+
+  int rows = atoi((const char*)argv[2]);
+  int cols = atoi((const char*)argv[3]);
+  cv::Mat image = cv::imread(image_path,cv::IMREAD_UNCHANGED);
+  cv::resize(image,image,cv::Size(cols,rows),CV_INTER_LANCZOS4);
+  std::string new_image_name = "";
+  new_image_name  = new_image_name + image_name +  "_" + std::to_string(rows) + "_" + std::to_string(cols) + ".png";
+  cout<<"\nNew image name = "<<new_image_name;
+  cv::imwrite(new_image_name,image);
+  return 0;
+}

benchmarking/salt_pepper_noise.m

@@ -0,0 +1,7 @@
+pkg load image
+img_path = "baboon_1024_1024_ENC.png"
+img = imread(img_path);
+noisy_img = imnoise(img,'salt & pepper',0.05);
+imwrite(noisy_img,"baboon_1024_1024_ENC_diffused.png");
+
+