Impulsive noise in images: a brief review
Alenrex Maity, Rishav Chatterjee · ACCENTS Transactions on Image Processing and Computer Vision · 2018
Where, t is the observed image with noise, and o is the true signal (image), and n is the noise component.Some other classifications [1, 2] are available through the image processing filed such as additive, multiplicative and impulse (random) noise.Impulse noise is the one type of noise which randomly modifies the pixel values.This type of noise can be classified into static and dynamic (random) (Figure 2).