Python Imaging Library (expansion of PIL) is the de facto image processing package for the Python language. It incorporates lightweight image processing tools that aid in editing, creating, and saving images. This module is not preloaded with Python. So to install it execute the following command in the command-line:
pip install pillow
To change the ratio of height and width we will add or subtract any random value from them.
Functions Used
- Image.open(fp, mode=’r’) method: This method is used to open the image.
- Image.resize(size, resample=0) method: This method is used to resize the image. Interpolation happens during the resize process, due to which the quality of image changes whether it is being upscaled (resized to a higher dimension than original) or downscaled (resized to a lower Image then original).
Approach:
- We will first take an image.
- Then we will find its height and width.
- Then we will add and subtract any random number from them to change the ratio.
- Then we will save the image.
Example:
Image Used:
Python3
# Python program to change the ratio of height and # width of an image from PIL import Image # Taking image as input img = Image.open('logo.png') # Getting height and width of the image height = img.size[0] width = img.size[1] # Printing ratio before conversion print('Ratio before conversion:', width/height) # Changing the height and width of the image width = width + 25height = height - 25 # Resizing the image img = img.resize((width ,height), Image.ANTIALIAS) # Printing the ratio after conversion print('Ratio after conversion:', width/height) # Saving the resized image img.save('Resized Image.png') |
Output:
Ratio before conversion: 1.0 Ratio after conversion: 1.25
Output Image:
