Wand image – Baseimage.kuwahara() function in Python
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.
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" ) |
Output: