Optimal Parameter Estimation of Spatial-Local Signal Filtering Algorithms

详细

Spatial-local algorithms for signal and image filtering are widely used in practice because they have one or several parameters whose values significantly determine a filtering error. The choice of these parameters from the filtering error minimum condition is a known problem that has not been acceptably solved yet. A statistical algorithm is proposed that makes it possible to quite accurately estimate the optimal parameters of two spatial-local filters. An efficient algorithm for estimating the measurement noise variance is presented.