ABST M-Type K-Nearest Neighbor (ABSTM-KNN) for Image Denoising

摘要

We present the Ansari-Bradley-Siegel-Tukey M-type K-nearest neighbor (ABSTM-KNN) filter to remove impulse noise from corrupted images. Extensive simulations have demonstrated that the proposed filter consistently outperforms other filters by balancing the tradeoff between noise suppression and detail preservation.