Resize An Image Using Python And Pillow

Overview:

  • A digital image is a two-dimensional plane of pixels and it has a width and height.
  • The Image class in Pillow has an attribute size. This tuple has the width and height of the image as its elements.
  • An image can be resized to a given width and height using the resize() method of Pillow’s Image class.
  • The resized image can be saved to disk by calling the save() method on image object of the resized image.
  • Resampling is applied to all the pixels that could affect the outcome. The available resampling methods are: NEAREST, BOX, BILINEAR, HAMMING, BICUBIC, LANCZOS.
  • The resize() method has the NEAREST filter as the default resampling method. 
  • A rectangle region can as well be specified within the available image size, which will be scaled and displayed as a new Image.

 

Example 1 – Resize and save the resized image using Python and Pillow:

# ----- Example Python program to resize an Image -----

from PIL import Image

 

# Create an Image object from a jpg file

img  = Image.open("whale.jpg");

 

# Make the new image half the width and half the height of the original image

resizedImage = img.resize((round(img.size[0]*.5), round(img.size[1]*.5)));

 

# Display the original image

img.show();

 

# Display the resized image

resizedImage.show();

 

# Save the resized image to disk

resizedImage.save("whale_resized.jpg");

 

# Scale a region

resizedAndScaled = img.resize((round(img.size[0]*.5), round(img.size[1]*.5)), box=(100,100,200,225));

resizedAndScaled.show();

 

Original Image:

Image before resizing using Python and Pillow

After resizing using Python and Pillow:

Image after resizing using Python and Pillow

After resizing and scaling using Python and Pillow:

Image after resizing and scaling applied using Python and Pillow

 


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