Effectively Filtering Corrupted Near Bank Image Based on Discrepancy Measure
Lihui Zhu · Journal of Optoelectronics·laser · 2007
A new filter—DMNVM is proposed based on discrepancy measurement(DM).First,it is estimated to determine whether the moving window center pixel is a corrupted pixel.If the central pixel is corrupted,it will be processed by vector median filter(VMF);and if the central sample is noise-free,it remains unchanged.The performance of the proposed method is compared with that of the well-known vector standard filters such as the VMF,progressive switch median filter(PSM),scalar median filter(SMF),minimum distance between central sample and scalar median in its neighborhood vector median filter(MMVM) and the basic vector directional filter(VDF).The results show the proposed method is of excellent signal-detail preservation and effective impulse noise suppression.Moreover the values of objective criteria—mean absolute error(MAE),mean square error(MSE),and normalized color difference(NCD)of DMNVM are 0.81,1.59,1.17 times less than that of adaptive vector median filtering(AVMF) respectively.