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Wand gaussian_blur() function in Python
  • Last Updated : 22 Apr, 2020

Another type of blur is Gaussian Blur. Difference of Gaussian blur with normal is that Gaussian Blur is achieved by using Gaussian Function. Simply any equation of the form : is called Gaussian Function.

Syntax :

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wand.image.gaussian_blur(radius="radius_value"
                           sigma="sigma_value"
            channel = "optional_channel_value")
  
# radius should always be greater than sigma(standard deviation)

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Parameters :

Parameter Input Type Description
radius numbers.real the radius of the, in pixels, not counting the center pixel.
sigma numbers.real the standard deviation, in pixels
channel basestring Optional color channel to apply blur.

Image Used :

Example #1:



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# import display() to show final image
from wand.display import display
  
# import Image from wand.image module
from wand.image import Image
  
# read file using Image function
with Image(filename ="koala.jpeg") as img:
  
    # perform adaptive blur effect using adaptive_blur() function
    img.gaussian_blur(radius = 5, sigma = 4)
  
    # save final image
    img.save(filename ="gb_koala.jpeg")
  
    # display final image
    display(img)

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Output :

 

Example #2: Reduced radius and sigma

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# import display() to show final image
from wand.display import display
  
# import Image from wand.image module
from wand.image import Image
  
# read file using Image function
with Image(filename ="koala.jpeg") as img:
  
    # perform adaptive blur effect using adaptive_blur() function
    img.gaussian_blur(radius = 2, sigma = 3)
  
    # save final image
    img.save(filename ="gb_koala.jpeg")
  
    # display final image
    display(img)

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Output :

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