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

Francisco GALLEGOS-FUNES
Volodymyr PONOMARYOV
Jose DE-LA-ROSA

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E88-A    No.3    pp.798-799
Publication Date: 2005/03/01
Online ISSN: 
DOI: 10.1093/ietfec/e88-a.3.798
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Image
Keyword: 
rank filters,  RM-estimators,  ABSTM-KNN filters,  

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Summary: 
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.

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