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Python – noise() function in Wand
  • Last Updated : 08 May, 2020

Image noise is random variation of brightness or color information in images, and is usually an aspect of electronic noise. We can add noise to the image using noise() function. noise function can be useful when applied before a blur operation to defuse an image.

Following are the noise we can add using noise() function:

  • gaussian
  • impulse
  • laplacian
  • multiplicative_gaussian
  • poisson
  • random
  • uniform

Syntax :

wand.image.noise(noise_type, attenuate, channel)

Parameters :

Parameter Input Type Description
noise_type numbers.Real Type of noise to apply.
attenuate numbers.Real Rate of distribution. Only available in ImageMagick-7. Default is 1.0.
channel basestring Optionally target a color channel to apply noise to.

Source Image:



Example 1:

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# Import Image from wand.image module
from wand.image import Image
  
# Read image using Image() function
with Image(filename ="koala.jpeg") as img:
  
    # Generate noise image using spread() function
    img.noise("poisson", attenuate = 0.9)
    img.save(filename ="noisekoala.jpeg")

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Output:

Example 2:

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# Import Image from wand.image module
from wand.image import Image
  
# Read image using Image() function
with Image(filename ="koala.jpeg") as img:
  
    # Generate noise image using spread() function
    img.noise("laplacian", attenuate = 1.0)
    img.save(filename ="noisekoala2.jpeg")

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Output:

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