image-blending

Image blending is the process of blending a source onto a target image with a mask such that it appears that the source is blending nicely into the target image's background. It can be implemented in a variety of ways. I have implemented Pyramid Blending and Poisson Blending.

The repo is organized in three folders:

• Code : main.py contains the main blending code that works for images one to nine. getMask.py can be used to generate a mask for a given image.
• Images : This folder contains all the source, target and mask images. They are numbered one to nine.
• Results : This is the folder where the generated results are stored. All the blends for images one to nine are present here.

Running Code

To run the code, Python 3 and the following libraries must be installed:

• numpy
• cv2
• scipy
• matplotlib

Then simply use the following command to run with python:

python3 main.py

Examples of the blending are given below:

Pyramid Blending

Pyramid Blending is not as good as Poisson Blending, but can work well in certain cases. A good example is blending the source image of an apple:

with an orange

using Pyramid Blending results in this:

Poisson Blending

Blending the following source:

with the following target:

results in the following: