Python: Image Background Removal and Composition

Image composition example

Crafting Seamless Image Transplants with Python

In today’s digital age, manipulating images has become an integral part of many creative endeavors and business processes. Whether you’re a graphic designer, a photographer, or just someone who enjoys crafting visually stunning images, having the right tools at your disposal can make a world of difference. In this blog post, we’ll explore two Python scripts that can help you take your image editing skills to the next level: one for stripping backgrounds and another for merging images onto new backgrounds.

Background Removal Script

Removing backgrounds from images is a common task in various fields, from e-commerce product photography to graphic design. Traditionally, this task could be quite time-consuming, but with the power of Python and the right libraries, we can automate it efficiently.

To remove backgrounds from images, we rely on Python and the rembg library. The rembg library is a tool to simply remove an images background, making it an ideal choice for our task.


You can install the rembg library in your command-line or terminal using:

pip install rembg
Python Code

Here is the basic code for background removal. You can edit the image_path and output_path to suit your image locations.

from rembg import remove
from PIL import Image

#Image for editing
image_path = 'pexels-robot.jpg'

#Location for new image
output_path = 'pexels-robot.png'

#Open Image
myImage = 

#Strip foreground
output = remove(myImage) 

#Save Transparent Image

Let’s see the script in action. Suppose we have this image:

pexels robot

After running our background removal script, we obtain this:

pexels robot
Potential Improvements

While our script provides a basic background removal solution, there’s room for improvement. More advanced techniques, such as deep learning-based segmentation, can yield even more accurate results.

Image Composition Script

Once you have a foreground image with a transparent background, the next step is to merge it with a new background. Our Python script simplifies this process, allowing you to create stunning composite images effortlessly.

Python Code

Here’s the core part of our image composition script:

from PIL import Image

#Background Image
background ="pexels-nano.jpg")

#Foreground Image
foreground ="pexels-robot.png")

#Merge Images
background.paste(foreground, (0, 0), foreground)

#Save New Image"mergedImage.jpg")

Suppose we have this lovely background image:

pexels nano

And we want to place our previously removed foreground image onto it. After running our image composition script, we get this stunning composite:

Image composition example

Tips and Tricks

To get the best results with our image composition script, ensure that your foreground image has a transparent background (e.g., in PNG format). Additionally, pay attention to the alignment and scaling of the foreground object to fit seamlessly into the new background.


Congratulations on mastering background removal and object placement in Python! You’ve learned powerful techniques for creative image manipulation, enabling you to seamlessly transplant objects onto new backgrounds. With these Python scripts in your toolkit, you have the power to automate background removal and create impressive composite images. Whether you’re designing graphics, enhancing product photos, or unleashing your creative side, these scripts can save you time and help you achieve outstanding results. Give them a try and let us know how they work for you! As you further explore image processing, experiment with different foreground objects and backgrounds, refining your skills in crafting visually stunning compositions using Python.

That’s All Folks!

You can explore more of our Python guides here: Python Guides

Luke Barber

Hello, fellow tech enthusiasts! I'm Luke, a passionate learner and explorer in the vast realms of technology. Welcome to my digital space where I share the insights and adventures gained from my journey into the fascinating worlds of Arduino, Python, Linux, Ethical Hacking, and beyond. Armed with qualifications including CompTIA A+, Sec+, Cisco CCNA, Unix/Linux and Bash Shell Scripting, JavaScript Application Programming, Python Programming and Ethical Hacking, I thrive in the ever-evolving landscape of coding, computers, and networks. As a tech enthusiast, I'm on a mission to simplify the complexities of technology through my blogs, offering a glimpse into the marvels of Arduino, Python, Linux, and Ethical Hacking techniques. Whether you're a fellow coder or a curious mind, I invite you to join me on this journey of continuous learning and discovery.

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