Combining Images Horizontally with Python
Python provides powerful image processing capabilities, including the option to combine multiple images horizontally. This article addresses the challenges faced when attempting to join three JPEG images, ensuring proper alignment and seamless transitions.
Problem Overview
The goal is to horizontally concatenate three images, each measuring 148 x 95 pixels. The desired output is a single image where the three sub-images are seamlessly merged.
Initial Attempt
The initial approach utilized a nested loop within a for loop and the Image.paste() method to paste each image into a newly created canvas. However, this resulted in partial images being visible in the output.
Implementing a Revised Solution
To rectify the issue, a more efficient approach was developed, leveraging the Image.open() and Image.size() methods to obtain image dimensions and dynamically adjust the new image size. The code is as follows:
<code class="python">import sys from PIL import Image images = [Image.open(x) for x in ['Test1.jpg', 'Test2.jpg', 'Test3.jpg']] widths, heights = zip(*(i.size for i in images)) total_width = sum(widths) max_height = max(heights) new_im = Image.new('RGB', (total_width, max_height)) x_offset = 0 for im in images: new_im.paste(im, (x_offset,0)) x_offset += im.size[0] new_im.save('test.jpg')</code>
Results
The revised solution successfully combined the images horizontally, producing the expected output:
Test1.jpg Test2.jpg Test3.jpg ──────▄▄██▀▀▀▀▄──────────▄▄██▀▀▀▀▄──────────▄▄██▀▀▀▀▄ ─────█▒▒░██▄▒▒▒█───────█▒▒░█████▒█───────█▒▒░█████▒█ ───▄████▒▒████▒▒██▄──▄████▒▒████▒▒██▄──▄████▒▒████▒▒██▄ ───██▒▒▒█▒▒▒█▒▒▒█▒▒██─██▒▒▒█▒▒▒█▒▒▒█▒▒██─██▒▒▒█▒▒▒█▒▒▒█▒▒██ ──██▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒██─██▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒██─██▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒██ ─██▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒██▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒██▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒█─ ██▒▒▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒██▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒██▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒▒██ ██▒▒▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒██▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒██▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒▒██ ─██▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒████▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒████▒▒▒▒▒▒▒█▒▒▒▒▒█▒▒▒▒▒▒█─ ───██▒▒▒█▒▒▒█▒▒▒█▒▒█████▒▒▒█▒▒▒█▒▒▒█▒▒█████▒▒▒█▒▒▒█▒▒▒█▒▒▒█▒▒▒█▒▒▒█─── ───▄████▒▒▒█▒▒▒█▒▒▒█████▒▒█████▒▒▒█▒▒▒█████▒▒█████▒▒▒█▒▒▒█▒▒▒█▒▒████▄─── ─────█▒▒▒████▒█▒▒▒▒▒▒████▒▒▒████▒▒█▒▒▒▒▒▒████▒▒▒████▒▒████▒▒▒▒▒█▒▒▒█───── ─────────▐▒▒▒█▒▒▒▒▒▒▒▒▒▒▒▒█▒▒▒▒▒▒▒█▒▒▒▒▒▒▒▒▒▒▒▒▒█▒▒▒▒▒▒▒█▒▒▒▒▒▒▒█────────── ──────────▀▒▒█▒▒▒▒▒▒▒▒▒▒▒▒▒█▒▒▒▒▒▒▒█▒▒▒▒▒▒▒▒▒▒▒▒▒█▒▒▒▒▒▒▒█▒▒▒▒▒▒▒█───────────
This improved solution effectively concatenated the three images, avoiding the issue of extra partial images showing. It provides a dynamic and customizable way to merge multiple images horizontally, making it suitable for general-purpose image processing tasks.
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