Weight Switching Tri-State Median Filter

摘要

In this study, a weight switching tri-state median filter (TSM) is proposed for removing impulse noise in both smooth and complicated regions of the dealing images. The switching scheme adopted large center weight while removing impulse noise of the complicate regions and switched to small center weight while dealing with the smooth regions. The smooth and complicated regions were classified according to the statistics information of the dealing image. The quad-tree decomposition was used to reduce classification procedures. Simulation results demonstrate that the proposed center weight switching scheme makes the TSM effective in both smooth and complicated regions of images with different noise ratio.