Friday, October 17, 2025
HomeLanguagesWand wavelet_denoise() function – Python

Wand wavelet_denoise() function – Python

The wavelet_denoise() function is an inbuilt function in the Python Wand ImageMagick library which is used to remove noise by applying a wavelet transform.
 

Syntax: 
 

wavelet_denoise(threshold, softness)

Parameters: This function accepts two parameters as mentioned above and defined below: 
 

  • Threshold: This parameter stores the value of the smoothing limit.
  • Softness: This parameter stores the value of the amount of attenuation of the smoothing threshold..

Return Value: This function returns the Wand ImageMagick object.

Original Image: 
 

Example 1: 
 

Python3




# Import library from Image
from wand.image import Image
 
# Import the image
with Image(filename ='../neveropen.png') as image:
    # Clone the image in order to process
    with image.clone() as wavelet_denoise:
        # Invoke wavelet_denoise function with threshold as 10
        # softness as 15
        wavelet_denoise.wavelet_denoise(10, 15)
        # Save the image
        wavelet_denoise.save(filename ='wavelet_denoise1.jpg')


Output: 
 

Example 2: 
 

Python3




# Import libraries from the wand 
from wand.image import Image
from wand.drawing import Drawing
from wand.color import Color
 
with Drawing() as draw:
    # Set Stroke color the circle to black
    draw.stroke_color = Color('black')
    # Set Width of the circle to 2
    draw.stroke_width = 1
    # Set the fill color to 'White (# FFFFFF)'
    draw.fill_color = Color('white')
 
    # Invoke Circle function with center at 50, 50 and radius 25
    draw.circle((200, 200), # Center point
                (100, 100)) # Perimeter point
    # Set the font style
    draw.font = '../Helvetica.ttf'
    # Set the font size
    draw.font_size = 30
     
    with Image(width = 400, height = 400, background = Color('# 45ff33')) as pic:
        # Set the text and its location
        draw.text(int(pic.width / 3), int(pic.height / 2), 'GeeksForGeeks !')
        # Draw the picture
        draw(pic)
        # Invoke wavelet_denoise function with threshold as 20
        # softness as 10
        pic.wavelet_denoise(20, 10)
        # Save the image
        pic.save(filename ='wavelet_denoise2.jpg')


Output: 
 

 

Dominic
Dominichttp://wardslaus.com
infosec,malicious & dos attacks generator, boot rom exploit philanthropist , wild hacker , game developer,
RELATED ARTICLES

Most Popular

Dominic
32361 POSTS0 COMMENTS
Milvus
88 POSTS0 COMMENTS
Nango Kala
6728 POSTS0 COMMENTS
Nicole Veronica
11892 POSTS0 COMMENTS
Nokonwaba Nkukhwana
11954 POSTS0 COMMENTS
Shaida Kate Naidoo
6852 POSTS0 COMMENTS
Ted Musemwa
7113 POSTS0 COMMENTS
Thapelo Manthata
6805 POSTS0 COMMENTS
Umr Jansen
6801 POSTS0 COMMENTS