Data-Dependent Weighted Median Filtering With Robust Motion Information for Restoring Image Sequence Degraded by Additive Gaussian and Impulsive Noise

摘要

In this study, we consider a filtering method for image sequence degraded by additive Gaussian noise and/or impulse noise (i.e., mixed noise). For removing the mixed noise from the 1D/2D signal, weighted median filters are well known as a proper choice. We have also proposed a filtering tool based on the weighted median filter with a data-dependent method. We call this data-dependent weighted median (DDWM) filters.