A family of nonlinear filters with data dependent coefficients
G Economou, S Fotopoulos… - IEEE transactions on …, 1995 - ieeexplore.ieee.org
G Economou, S Fotopoulos, M Vemis
IEEE transactions on signal processing, 1995•ieeexplore.ieee.orgA new family of data dependent nonlinear filters (DDNL) is presented. Coefficients are
computed locally and the absolute distance between signal samples is used to determine a
rank order dependent weighting function. The new filters have very good performance
regarding noise suppression and impulse rejection and at the same time provide better
edge preservation than the averager and other linear smoothers.<>
computed locally and the absolute distance between signal samples is used to determine a
rank order dependent weighting function. The new filters have very good performance
regarding noise suppression and impulse rejection and at the same time provide better
edge preservation than the averager and other linear smoothers.<>
A new family of data dependent nonlinear filters (DDNL) is presented. Coefficients are computed locally and the absolute distance between signal samples is used to determine a rank order dependent weighting function. The new filters have very good performance regarding noise suppression and impulse rejection and at the same time provide better edge preservation than the averager and other linear smoothers.< >
ieeexplore.ieee.org
Showing the best result for this search. See all results