Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1093/ietfec/e88-a.3.798 | IEICE Transactions |
Keywords | Field | DocType |
k nearest neighbor | k-nearest neighbors algorithm,Noise suppression,Pattern recognition,Speech recognition,Artificial intelligence,Impulse noise,Image denoising,Mathematics | Journal |
Volume | Issue | ISSN |
E88-A | 3 | 0916-8508 |
Citations | PageRank | References |
7 | 0.65 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Francisco J. Gallegos Funes | 1 | 63 | 10.29 |
Volodymyr I. Ponomaryov | 2 | 124 | 18.38 |
Jose De-La-Rosa | 3 | 7 | 0.65 |