A Julia package for adding different kinds of noise to signals like time series or images.
Author roflmaostc
10 Stars
Updated Last
2 Years Ago
Started In
April 2020


Noise.jl is a Julia package to add different kinds of noise to a digital signal like a array or images.

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The complete manual of Noise.jl is available at the documentation page. It has more detailed explanations of the methods and contains examples for data arrays and images.


Noise.jl is available for all version equal or above Julia 1.3. It can be installed with the following command

julia> ] add Noise


Currently, all methods are provided with trailing ! (like poisson!), so there is a in-place method available. In general, if images like Array{RGB{<:Normed} or Array{Gray{<:Normed}} are given to a method, an image with same type will be returned. The methods also work for normal Arrays like Array{<:Number}. At the moment five different types of noise are possible: Additive and multiplicative Gaussian, Salt and Pepper, Poisson and Quantization noise.

using Noise, TestImages, Images, Plots
img = testimage("fabio_gray_256")
img_color = testimage("fabio_color_256")

img_gray_gauss = add_gauss(img, 0.1)
img_color_gauss = add_gauss(img_color, 0.1)
img_gray_sp = salt_pepper(img, 0.1)

# 1D array
x = LinRange(0.0, 10.0, 300)
y = sin.(x)
# small noise
y_noise = add_gauss(y, 0.1)

plot(x,y) # hide
plot!(x, y_noise) # hide
savefig("images/series_index.png") # hide

save("images/img_gray_gauss_index.png", img_gray_gauss) # hide
save("images/img_color_gauss_index.png", img_color_gauss) # hide
save("images/img_gray_sp_index.png", img_gray_sp) # hide
nothing # hide

The left gray image is affected by Gaussian noise with a standard deviation of \sigma = 0.1. In the image in the middle, we added Gaussian noise with the same standard deviation but to each individual color channel. Therefore the image has a fluctuating color look. The image on the right is affected by salt and pepper noise by a probability of 10%.

Gray image with noise RGB image with noise Gray image with salt and pepper noise

This 1D array is affected by a additive gaussian white noise (\sigma=0.1, \mu=0).


The package is developed at GitHub. There you can submit bug reports, propose new types of noise with pull requests, and make suggestions. We are very happy about new types of noise, which can be also very specific for some applications. The aim is to provide via Noise.jl a central package which can be used by many different types of application from Biology to Astronomy and Electrical Engineering.

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