Adding (blending) two images using OpenCV

Goal

In this tutorial you will learn:

• what is linear blending and why it is useful;
• how to add two images using cv::addWeighted

Theory

Note

The explanation below belongs to the book Computer Vision: Algorithms and Applications by Richard Szeliski

From our previous tutorial, we know already a bit of Pixel operators. An interesting dyadic (two-input) operator is the linear blend operator:

\[g(x) = (1 - \alpha)f_{0}(x) + \alpha f_{1}(x)\]

By varying \(\alpha\) from \(0 \rightarrow 1\) this operator can be used to perform a temporal cross-dissolve between two images or videos, as seen in slide shows and film productions (cool, eh?)

Source Code

Download the source code from here.

#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>

using namespace cv;

int main( void )
{
   double alpha = 0.5; double beta; double input;

   Mat src1, src2, dst;

   std::cout<<" Simple Linear Blender "<<std::endl;
   std::cout<<"-----------------------"<<std::endl;
   std::cout<<"* Enter alpha [0-1]: ";
   std::cin>>input;

   // We use the alpha provided by the user if it is between 0 and 1
   if( alpha >= 0 && alpha <= 1 )
     { alpha = input; }

   src1 = imread("../data/LinuxLogo.jpg");
   src2 = imread("../data/WindowsLogo.jpg");

   if( src1.empty() ) { std::cout<< "Error loading src1"<<std::endl; return -1; }
   if( src2.empty() ) { std::cout<< "Error loading src2"<<std::endl; return -1; }

   beta = ( 1.0 - alpha );
   addWeighted( src1, alpha, src2, beta, 0.0, dst);

   imshow( "Linear Blend", dst );
   waitKey(0);

   return 0;
}

Explanation

1. Since we are going to perform:

   \[g(x) = (1 - \alpha)f_{0}(x) + \alpha f_{1}(x)\]

   We need two source images ( \(f_{0}(x)\) and \(f_{1}(x)\)). So, we load them in the usual way:

      src1 = imread("../data/LinuxLogo.jpg");
      src2 = imread("../data/WindowsLogo.jpg");

   warning

   Since we are adding src1 and src2, they both have to be of the same size (width and height) and type.

2. Now we need to generate the g(x) image. For this, the function cv::addWeighted comes quite handy:

      beta = ( 1.0 - alpha );
      addWeighted( src1, alpha, src2, beta, 0.0, dst);

   since cv::addWeighted produces:

   \[dst = \alpha \cdot src1 + \beta \cdot src2 + \gamma\]

   In this case, gamma is the argument \(0.0\) in the code above.
3. Create windows, show the images and wait for the user to end the program.

      imshow( "Linear Blend", dst );
      waitKey(0);

   Result