Edge preserving signal enhancement using generalizations of order statistic filtering

Several generalizations of order statistic filtering are examined and proposed for nonlinear edge preservation and impulsive noise suppression. The Double Window Modified Trimmed Mean filter´s performance is characterized. Recursive generalizations are considered for enhanced smoothing capabilities. A structure combining temporal and rank order statistic processing is proposed. While exposition and examples are given for one dimensional input sequences, the techniques and results are applicable to multidimensional filtering.