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 modulefrom wand.image import Image# Read image using Image() functionwith 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 modulefrom wand.image import Image# Read image using Image() functionwith Image(filename ="koala.jpeg") as img: # Generate noise image using noise() function img.noise("laplacian", attenuate = 1.0) img.save(filename ="noisekoala2.jpeg") |
Output:
