Title
ABST M-Type K-Nearest Neighbor (ABSTM-KNN) for Image Denoising
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 Funes16310.29
Volodymyr I. Ponomaryov212418.38
Jose De-La-Rosa370.65