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Wand noise() function – Python
  • Last Updated : 04 May, 2020

The noise() function is an inbuilt function in the Python Wand ImageMagick library which is used to add noise to the image.

Syntax:

noise(noise_type, attenuate, channel)

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

  • noise_type: This parameter is used to store the noise type. Some of the available noise types are ‘undefined’, ‘uniform’, ‘gaussian’, ‘multiplicative_gaussian’, ‘impulse’, ‘laplacian’, ‘poisson’, ‘random’.
  • attenuate: This parameter stores the rate of distribution.
  • channel: This parameter stores the channel type as “green”, “yellow”, “red” etc.

Return Value: This function returns the Wand ImageMagick object.

Original Image:

Example 1:



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# Import library from Image 
from wand.image import Image
  
# Import the image
with Image(filename ='../geeksforgeeks.png') as image:
    # Clone the image in order to process
    with image.clone() as noise:
        # Invoke noise function with Channel "green" and noise poisson
        noise.noise("poisson", 2, "green")
        # Save the image
        noise.save(filename ='noise1.jpg')

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Output:

Example 2:

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# 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 circlw 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 noise function with cahnnel "yellow" and noise as impulse
        pic.noise("impulse", 3, "yellow")
        # Save the image 
        pic.save(filename ='noise2.jpg')

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Output:

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