TY - JOUR
T1 - ABST M-type K-nearest neighbor (ABSTM-KNN) for image denoising
AU - Gallegos-Funes, Francisco
AU - Ponomaryov, Volodymyr
AU - De-La-Rosa, Jose
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - ABSTM-KNN filters
KW - RM-estimators
KW - Rank filters
UR - http://www.scopus.com/inward/record.url?scp=24144457605&partnerID=8YFLogxK
U2 - 10.1093/ietfec/e88-a.3.798
DO - 10.1093/ietfec/e88-a.3.798
M3 - Artículo
SN - 0916-8508
VL - E88-A
SP - 798
EP - 799
JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
IS - 3
ER -