How to perform image manipulation in Python?

Image manipulation is a common task in many applications, and Python provides several libraries for performing image manipulation tasks. Here are some of the most common tasks:

1. Reading an image: To read an image in Python, you can use the PIL (Python Imaging Library) library, which has been forked into the Pillow library. Here is an example code snippet:

from PIL import Image

# Open an image file
with Image.open("image.png") as img:
    # Process the image
    # ...
    # Display the image
    img.show()

1. Changing the size of an image: To change the size of an image, you can use the resize() method of the PIL.Image object. Here is an example code snippet:

from PIL import Image

# Open an image file
with Image.open("image.png") as img:
    # Resize the image
    img_resized = img.resize((100, 100))

    # Display the resized image
    img_resized.show()

1. Cropping an image: To crop an image, you can use the crop() method of the PIL.Image object. Here is an example code snippet:

from PIL import Image

# Open an image file
with Image.open("image.png") as img:
    # Crop the image
    img_cropped = img.crop((0, 0, 100, 100))

    # Display the cropped image
    img_cropped.show()

1. Saving an image: To save an image, you can use the save() method of the PIL.Image object. Here is an example code snippet:

from PIL import Image

# Open an image file
with Image.open("image.png") as img:
    # Process the image
    # ...

    # Save the modified image
    img.save("modified_image.png")

These are just a few examples of common image manipulation tasks in Python. Python provides many more image manipulation libraries and methods, so it’s a good idea to familiarize yourself with these libraries if you’re working with images in your code.