Wand gaussian_blur() function in Python

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 :

Python3

wand.image.gaussian_blur(radius="radius_value",
                           sigma="sigma_value",
            channel = "optional_channel_value")

# radius should always be greater than sigma(standard deviation)

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:

Python3

# 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 gaussian blur effect using gaussian_blur() function
    img.gaussian_blur(radius = 5, sigma = 4)

    # save final image
    img.save(filename ="gb_koala.jpeg")

    # display final image
    display(img)

Output :

Example #2: Reduced radius and sigma 

Python3

# 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 gaussian blur effect using gaussian_blur() function
    img.gaussian_blur(radius = 2, sigma = 3)

    # save final image
    img.save(filename ="gb_koala.jpeg")

    # display final image
    display(img)

Output :