Resize an Image using PIL in Python

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In this tutorial, you will resize an image using PIL in Python. PIL is the Python imaging library that provides the python interpreter with image editing function. The Image modile provides a class with the same name which used to represent a PIL image and the module als provides a number of factory functions, including functions to load images from files, and to create new images. The syntax is explained as follows.

Image.resize() – Returns a resized copy of any given image.

size: the requested size in pixels, as a 2 tuple: (width, height).

resample: an optional resampling filters. This can be one of PIL. image.NEAREST (use nearest neighour), PIL.Image.BILINEAR (linear interpolation), PIL.Image.BICUBIC (cubic spline interpolation), or PIL.Image.LANCZOS (a high-quality downsampling filter). If omitted, or if the image has mode ‘1’ or ‘P’, it is set PIL.Image.NEAREST.

Return type: An Image object.

The image that I used:

lena

The code is show as follow.

# Created by inpows
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# Improting Image class from PIL module  
from PIL import Image

# Opens a image in RGB mode
im = Image.open(r"D:\MyProject\Python\ImageDownloader\lena.bmp")  
  
# Size of the image in pixels (size of orginal image)
width, height = im.size
  
# Setting the points for cropped image
left = 4
top = height / 5
right = 299
bottom = 3 * height / 5

# Cropped image of above dimension
# (It will not change orginal image)
im1 = im.crop((left, top, right, bottom))
newsize = (300, 300)
im1 = im1.resize(newsize)
# Shows the image in image viewer
im1.show()

The result will be:

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