An Efficient Switching Median Filter Based on Local Outlier Factor

作者：Wang, Wei^*; Lu, Peizhong

来源：IEEE Signal Processing Letters, 2011, 18(10): 551-554.

DOI：10.1109/LSP.2011.2162583

• Image restoration
• impulse noise detection
• local outlier factor (LOF)
• switching median filter

An effective algorithm for removing impulse noise from corrupted images is presented under the framework of switching median filtering. Firstly, noisy pixels are distinguished by Local Outlier Factor incorporating with Boundary Discriminative Noise Detection (LOFBDND). Then, the directional weighted median filter is adopted to remove the detected impulses by replacing each noisy pixel with the weighted mean of its neighbors in the filtering Our noise detection algorithm makes the decision so accurate that the miss detection rate and false detection rate are very low. Extensive simulation results show that our method provides better performance in terms of PSNR and MAE than many other median filters for impulse noise removal.

• 出版日期2011-10
• 单位中国人民解放军海军医学研究所; 复旦大学