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:
# 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: