Efficient impulsive noise suppression via nonlinear recursive filtering

A nonlinear recursive filter for the suppression of impulsive noises is proposed. This filter selects from each window a sample closest in value to the most recent output, and is thus named the lust output reference (LOR) filter. A relationship between the LOR and recursive median filters is derived, and some statistical properties are studied through computer simulations. The results indicate that this filter preserves edges while suppressing impulsive noise. It is shown that LOR filters are more effective in suppressing impulses, and are often simpler to implement than median filters.