How to compare two images and display the differences using Python

This topic describes how the  image comparison engine works.This is a fairly specialized task, and there are a number of potential approaches. We see two approaches for this problem.

General Idea of Comparison

The general idea is very simple - pixel-by-pixel comparison.

The comparison engine gets the color of pixels that have the same coordinates within the image and compares this color. If the color of each pixel of both images coincides, Test Complete considers the two images to be identical.

difference in Green

     another example:

difference in Red

 Implementation in Python

This section contains the code for a building a straight forward image comparison using the  NumPy, cv2  and ImageChops  library. This is the implementation part, we will go through the code to understand it in more detail in the next section.

1. Using cv2 

Implementation using cv2

2. Using Image, ImageChops 

Implementation using ImageChops

The folder structure is as follows:

           Images Comparison:

                         1- images_comp.ipynb   

                         2- 1.jpg

                         3- 2.jpg

Click on link and download source code and images 
https://github.com/Enigma1997/image_difference

 Here I use Juypter Notebook that's why extension is .ipynb (You can use any IDE but the Directory is always same).

Both images are same in appearance. We can hardly see the differences between this images with our naked eyes.

Both method returns the same result. Let see the result 

 Difference in the squared box

Conclusion

We have to see how we can find the difference between 2 images with the help of Python. There are many other ways to find out the difference.If you know any other way to find the difference between the images , then tell me in the comment section.

Thank You for Reading.