A Gaussian noise is a type of noise which is in the form of Gaussian distribution, such as the white noise commonly encountered. It is random-valued and in impulses. But random-valued impulse noise can take other different distributions.
A Gaussian noise is a random variable N that has a normal distribution, denoted as N~ N (µ, σ2), where µ the mean and σ2 is the variance. If µ=0 and σ2 =1, then the values that N can take are concentrated in the interval (-3.5, 3.5).
The random-valued impulse noise is a certain pulse that can have random values. An example of random-valued impulse noise in the field of image processing is the luminance value of a true image.
Gaussian noise is statistical noise having a probability density function (PDF) equal to that of the normal distribution .
A Gaussian noise is a random variable N that has a normal distribution, denoted as N~ N (µ, σ2), where µ the mean and σ2 is the variance. If µ=0 and σ2 =1, then the values that N can take are concentrated in the interval (-3.5, 3.5).
The random-valued impulse noise is a certain pulse that can have random values. An example of random-valued impulse noise in the field of image processing is the luminance value of a true image.
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