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

Authors:
Francisco Gallegos-Funes;Volodymyr Ponomaryov;Jose De-La-Rosa
Affiliations:
The authors are with National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Av. IPN s/n, Col. Lindavista, 07738, Mexico, D.F., Mexico. Email: fgallegosf@ipn ...;The authors are with National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Av. IPN s/n, Col. Lindavista, 07738, Mexico, D.F., Mexico. Email: fgallegosf@ipn ...;The authors are with National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Av. IPN s/n, Col. Lindavista, 07738, Mexico, D.F., Mexico. Email: fgallegosf@ipn ...
Venue:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Year:
2005

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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.