In this blog post, we will explore how to correct camera distortion using the Pillow library in Python. Camera distortion is a common problem in photography where straight lines appear curved due to the lens used or the angle of view. With the help of Pillow, we can easily correct this distortion and obtain corrected images.

Installation

To get started, make sure you have Pillow installed in your Python environment. You can install it using pip by running the following command:

pip install pillow

Once Pillow is installed, we are ready to proceed.

Correcting Camera Distortion

To correct camera distortion using Pillow, we will use the lensfunpy library, which provides a database of lens calibration data for various camera models and lenses. Follow these steps to correct camera distortion:

1. Import the necessary libraries:

from PIL import Image
import lensfunpy

1. Load the image:

image = Image.open("path/to/image.jpg")

1. Create a lensfunpy database:

db = lensfunpy.Database()

1. Get the lens profile for your specific camera and lens combination:

camera_maker = "Nikon"
camera_model = "D850"
lens_maker = "Nikon"
lens_model = "24-70mm f/2.8"
 
camera = db.find_camera(camera_maker, camera_model)
lens = db.find_lens(camera, lens_maker, lens_model)

1. Apply the correction to the image:

corrected_image = lensfunpy.correct_image(image, camera, lens)

1. Save the corrected image:

corrected_image.save("path/to/corrected_image.jpg")

And that’s it! You have successfully corrected camera distortion using Pillow and lensfunpy.

Conclusion

Camera distortion can significantly affect the quality of your photographs. Thankfully, with the help of libraries like Pillow and lensfunpy, correcting camera distortion has become easier than ever before. Now you can produce distortion-free, visually pleasing images.