imgnoise: Takes an numeric array of any number of dimensions, and...
In rayheberer/imgnoise: Image Noise

Description Usage Arguments Examples

Takes an numeric array of any number of dimensions, and applies a form of random noise to it.

1	imgnoise(image, noise_type, ...)

`image`	An array of numerics. If generating Salt and Pepper noise, all entries need to be between 0 and 1.
`noise_type`	The type of noise to apply to the array - Gaussian, Salt and Pepper, Speckle, or Uniform noise.
`mu`	If generating Gaussian noise - the mean of the normal distribution the random number is sampled from.
`variance`	If generating Gaussian or Speckle noise - the variance of the distribution the random number is sampled from.
`noise_density`	If generating Salt and Pepper noise - the approximate proportion (between 0 and 1) of entries in the array that will be changed to 0 or 1.
`lower_bound`	If generating Uniform noise - the minimum possible value for the random number.
`upper_bound`	If generating Uniform noise - the maximum possible value for the random number.

#suppose Rlogo is an array generated by Rlogo = readPNG(system.file("img", "Rlogo.png", package = "png))
imgnoise(Rlogo, "gaussian", mu = 0.2, variance = 0.3)
imgnoise(Rlogo, "salt_and_pepper", noise_density = 0.8)
imgnoise(Rlogo, "speckle", variance = 0.15)
imgnoise(Rlogo, "uniform", lower_bound = -0.4, upper_bound = 0.9)
imgnoise(Rlogo, "gaussian")
imgnoise(Rlogo, "salt_and_pepper")