MATLAB CVIP Toolbox Functions

Noise

Noise functions for Gaussian, negative exponential, speckle (salt&pepper), gamma, Rayleigh and uniform noise are available. The functions will add noise to an existing image, or create an image of noise only. The user can specify the necessary parameters for the noise, such as the mean and variance for most noise types,the probabilities for salt-and-pepper noise, or the alpha ('α') value for gamma noise.The functions are useful for developing and testing noise mitigation algorithms. They are also instructive in development and testing of restoration algorithms.

gamma_noise_cvip - add gamma noise to an image
gaussian_noise_cvip - add gaussian noise
neg_exp_noise_cvip - add negative-exponential noise
rayleigh_noise_cvip - add Rayleigh noise
salt_pepper_noise_cvip - add speckle (salt-and-pepper) noise
uniform_noise_cvip - add uniform noise