Wand image – Baseimage.kuwahara() function in Python

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Kuwahara is one of the most famous and important effect in image processing. kuwahara() function is used to add kuwahara effect to the image. The kuwahara() method applies a smoothing filter to reduce noise in an image, but also preserves edges. kuwahara() function takes only two parameters.

Syntax :
wand.image.kuwahara(radius=radius, sigma= std.deviation)
Parameters :

Parameter Input Type Description

radius numbers.Real Size of the filter aperture.

sigma numbers.Real Standard deviation of Gaussian filter.

Parameter	Input Type	Description
radius	numbers.Real	Size of the filter aperture.
sigma	numbers.Real	Standard deviation of Gaussian filter.

Image Used :

Example #1:

# import Image from wand.image module 
from wand.image import Image 
  
# read image using Image() function 
with Image(filename ="koala.jpeg") as img: 
  
    # apply kuwahara effect using kuwahara() function 
    img.kuwahara(radius = 2, sigma = 1.5) 
    img.save(filename ="koalakuwahara.jpg") 

Output:

Example #2: Increasing radius and sigma

# import Image from wand.image module 
from wand.image import Image 
  
# read image using Image() function 
with Image(filename ="koala.jpeg") as img: 
  
    # apply kuwahara effect using kuwahara() function 
    img.kuwahara(radius = 4, sigma = 3) 
    img.save(filename ="koalakuwahara.jpg") 