A KIND OF DETAIL-PRESERVING ADAPTIVE FILTER BASED ON LOCAL SIGNAL TIME-VARYING CHARACTERISTICS
一种基于信号局部时变特性的细节保护自适应滤波器

Authors, in this paper, propose and analyze a new kind of detail-preserving adaptive filter algorithm according to relations between local temporal signal and its order statistics. Theoretical analysis and simulation results show that the adaptive filters determined by similarity measurement between temporal signal and monotonic order statistics which belongs to the root signal set of standard median filter have good performances in the aspects of removal of complicated distributed noises as well as preservation of signal edges and details.