Nonlinear mean filters in image processing
Ioannis Pitas, A. Venetsanopoulos · IEEE Transactions on Acoustics Speech and Signal Processing · 1986
The use of nonlinear means in image processing is introduced. The properties of these means in the presence of different types of noise are investigated. It is shown that nonlinear filters based on these means behave well for both additive and impulse noise. Their performance in the presence of signal dependent noise is satisfactory. They preserve the edges better than linear filters, and they reject the noise better than median filters.