Noize

Noize is a tool and a library to apply different kind of noise methods to images. Various noises with parameters can be applied for both grayscale and RGB images.

Here is an example, from left to right, original, salt and pepper, gaussian, periodic versions of an image.

Noize requiers Python 3.8 or newer versions, however some or all methods can be used older Python 3 versions.

Some supported methods:

• Periodic Noise
• Salt and Pepper Noise
• Noises with Probability Density Functions

Installation

Install Noize from PyPI:

$ pip install noize

Cli Usage

Here is an example to apply salt and pepper noise, use noize --help for more:

$ noize salt-and-pepper lenna.png -p 0.01 --seed 25 -o output.png

Lib Usage

import numpy as np
from PIL import Image
from noize import noise

# load image
im = Image.open("doc/lenna.png")

# apply noise (input should be np.ndarray)
out = noise.salt_and_pepper(np.array(im), 0.1, 25)

# save result
out_im = Image.fromarray(out)
out_im.save("output.png")

Checkout the noise module documentation for more.

License

MIT License

Copyright (c) 2021 mcemilg

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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