Python – noise() function in Wand

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:

Python3

# 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 noise() function
    img.noise("poisson", attenuate = 0.9)
    img.save(filename ="noisekoala.jpeg")

Output:

Example 2:

Python3

# 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 noise() function
    img.noise("laplacian", attenuate = 1.0)
    img.save(filename ="noisekoala2.jpeg")

Output: