Part 1
The Pillow library in Python is a vital tool for anyone interested in digital image manipulation. Whether you’re a seasoned programmer or just starting out, our post will guide you through the basics of using Pillow to edit, transform, and enhance images. From opening and saving images in different formats to applying complex transformations and filters, we’ll cover essential techniques fundamental to digital image processing. We aim to provide clear, practical examples you can easily follow and implement. By the end of this post, you’ll have a solid foundation in using Pillow, empowering you to bring your creative ideas to life through programming. So, gear up for an exciting journey into Python and image processing. Let’s unlock the potential of your digital creativity with Pillow!
Installation of Pillow
Before we begin, make sure that Pillow is installed. If necessary, install it using the following command:
!pip install pillow
Importing the Library
We import the necessary classes from the Pillow library.
from PIL import Image, ImageDraw, ImageFilter
Opening and Viewing Images
To work with an image, we first need to load it using the open method.
image = Image.open("image.jpg")
image.show()
Image Properties
We can check various properties of the image, such as format, mode (e.g., RGB), dimensions, etc.
print("Format:", image.format)
print("Mode:", image.mode)
print("Dimensions:", image.size)
Saving in Another Format
It’s possible to save the image in a different format.
image.save('image_save.png')
Resizing the Image
The resize method is used to change the size of the image.
image = image.resize((400, 300))
Cropping the Image
We can crop the image using the crop method.
image = image.crop((0, 0, 300, 300))
Rotating the Image
The image can be rotated in various ways.
image = image.rotate(45)
image = image.transpose(Image.Transpose.FLIP_LEFT_RIGHT)
image = image.transpose(Image.Transpose.ROTATE_90)
Creating Thumbnails
Creating a thumbnail of the image can be useful for previews.
image.thumbnail((90, 90))
image.save('thumbnail.jpg')
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