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Updated on 2024-10-29

Python's implementation of combining multiple images for output

How does Python merge multiple images for output?

If you need to merge multiple images into one and output them to a single file, then Python offers some simple solutions. In this article, we'll cover how to perform this operation using Python, with examples and usage notes.

PIL library

Python Imaging Library (PIL) is one of the well known libraries for working with images. It is a third-party library for Python that can be easily installed and used. Multiple images can be easily merged into one output using PIL.

mounting

The PIL library can be installed using the following command:

pip install Pillow

usage

The following is a sample program to merge two images for output:

from PIL import Image
# Open the image
img1 = ('')
img2 = ('')
# Get image size
width1, height1 = 
width2, height2 = 
# Create a new blank image
new_im = ('RGB', (width1 + width2, max(height1, height2)))
# Copy the first image to the new image
new_im.paste(img1, (0, 0))
# Copy the second image to the new image
new_im.paste(img2, (width1, 0))
# Save new images
new_im.save('merged_image.jpg')

Understanding the above code is simple. First, we imported the Image class and then opened the two images to be merged. Then, we get the size of each image and are ready to create a new blank image to hold both the images. We copy the first image to the left side of the new image and then copy the second image to the right side and finally save the image.

NumPy and OpenCV

If you want to use Python's scientific computing libraries, you can use NumPy and OpenCV.Using these libraries, you can easily merge multiple images into one output.

mounting

The NumPy and OpenCV libraries can be installed using the following commands:

pip install numpy opencv-python

usage

The following is a sample program to merge two images for output:

import cv2
import numpy as np
# Read the image
img1 = ('')
img2 = ('')
# Get image size
height1, width1, channels1 = 
height2, width2, channels2 = 
# Create a new image
new_img = ((max(height1, height2), width1 + width2, 3), np.uint8)
# Copy the first image to the new image
new_img[0:height1, 0:width1] = img1
# Copy the second image to the new image
new_img[0:height2, width1:width1+width2] = img2
# Output images
('merged_image.jpg', new_img)

In this example, we open each image using OpenCV and NumPy, get the size of each image, create a new blank image to hold both images, and then merge them together.

reach a verdict

This article describes two ways to merge multiple images into a single output: using the PIL library or using OpenCV and NumPy. both of these libraries can accomplish this task using simple syntax and a small amount of code in Python. Using these libraries will make your work easier and faster, allowing you to focus on other tasks and be more productive.

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