OpenCV  4.1.0-pre
Open Source Computer Vision
Adding (blending) two images using OpenCV

Prev Tutorial: Operations with images

Next Tutorial: Changing the contrast and brightness of an image!

Goal

In this tutorial you will learn:

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

Explanation

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:

We used the following images: LinuxLogo.jpg and WindowsLogo.jpg

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

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

since addWeighted() produces:

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

In this case, gamma is the argument \(0.0\) in the code above.

Create windows, show the images and wait for the user to end the program.

Result

Adding_Images_Tutorial_Result_Big.jpg