Apply a Gauss filter to an image with Python

Python PIL | GaussianBlur() method

Last Updated : 14 Jul, 2019

PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. The ImageFilter module contains definitions for a pre-defined set of filters, which can be used with the Image.filter() method. PIL.ImageFilter.GaussianBlur() method create Gaussian blur filter.

Syntax: PIL.ImageFilter.GaussianBlur(radius=5) Parameters: radius – blur radius. Changing value of radius the different intensity of GaussianBlur image were obtain. Returns type: An image.

Image Used:

Python3 1==

 

# Importing Image and ImageFilter module from PIL package 
from PIL import Image, ImageFilter 

# creating a image object 
im1 = Image.open(r"C:\Users\System-Pc\Desktop\leave.JPG") 

# applying the Gaussian Blur filter 
im2 = im1.filter(ImageFilter.GaussianBlur(radius = 5))

im2.show()

Output:

radius:radius value used here is 2.

Python3 1==

 Importing Image and ImageFilter module from PIL package 
from PIL import Image, ImageFilter 

# creating a image object 
im1 = Image.open(r"C:\Users\System-Pc\Desktop\leave.JPG") 

# applying the Gaussian Blur filter 
im2 = im1.filter(ImageFilter.GaussianBlur(radius = 2))

im2.show()

Output:

Apply a Gauss filter to an image with Python

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Python PIL | GaussianBlur() method

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