Open In App
Related Articles

Wand selective_blur() function in Wand python

Improve Article
Improve
Save Article
Save
Like Article
Like

Another kind of Blur that can be performed using Wand library in python is Selective Blur. Selective blur is similar to normal blur. Difference is that it only effect the part of the image that have contrast below a given quantum threshold. A new attribute named as threshold is introduced in this function.

Syntax :

Python3




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

Parameters :

ParameterInput TypeDescription
radiusnumbers.Realthe radius of the, in pixels, not counting the center pixel.
sigmanumbers.Realthe standard deviation, in pixels
thresholdnumber.RealOnly pixels within contrast threshold are effected.

 

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 selective blur effect using
    # selective_blur() function
    img.selective_blur(radius = 8, sigma = 4,
              threshold = 0.15 * img.quantum_range)
 
    # save final image
    img.save(filename ="mb_koala.jpeg")
 
    # display final image
    display(img)

Output: 

Example #2: Increase threshold value to 0.5.

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 selective blur effect
    # using selective_blur() function
    img.selective_blur(radius = 8, sigma = 4,
              threshold = 0.25 * img.quantum_range)
 
    # save final image
    img.save(filename ="mb_koala.jpeg")
 
    # display final image
    display(img)

Output: 

 


Last Updated : 10 Mar, 2023
Like Article
Save Article
Similar Reads
Related Tutorials