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 :
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 :