Python PIL | ImageOps.equalize() method

PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. the ImageOps module contains a number of ‘ready-made’ image processing operations. This module is somewhat experimental, and most operators only work on L and RGB images. ImageOps.equalize() method equalizes the image histogram. This function applies a non-linear mapping to the input image, in order to create a uniform distribution of grayscale values in the output image.

Syntax: PIL.ImageOps.equalize(image, mask=None) Parameters: image: The image to equalize. mask: An optional mask. If given, only the pixels selected by the mask are included in the analysis. Returns: An image.

Image used: Python3 1==

# Importing Image and ImageOps module from PIL package  
from PIL import Image, ImageOps 
  
# creating a image1 object 
im1 = Image.open(r"C:\Users\sadow984\Desktop\download2.JPg")
   
# applying equalize method 
im2 = ImageOps.equalize(im1, mask = None)

im2.show() 

Output: