TY - JOUR
T1 - Novel detail-preserving robust RM-KNN filters with impulsive noise suppression for image processing
AU - Ponomaryov, Vladimir I.
AU - Pogrebniak, Alexey B.
AU - Estrada, L. S.
N1 - Publisher Copyright:
© 1998 SPIE. All rights reserved.
PY - 1998/7/8
Y1 - 1998/7/8
N2 - We introduce novel robust filtering algorithms applicable to image processing. They were derived using RM-type point estimations and the restriction technique of the well-known specific for image processing KNN filter. The derived RM-KNN filters effectively remove impulsive noise while edge and fine details are preserved. The proposed filters were tested on simulated images and real data and were provided excellent visual quality of the processed images and good quantitative quality in the MSE sense over standard median filter. Recommendations to obtain best processing results by proper selection of derived filter parameters are given. Two derived filters are suitable for impulsive noise reduction in any image processing applications. One can use the RM-KNN filters as the first stage of image enhancement following by any non-robust techniques such as Sigma-filter on the second stage.
AB - We introduce novel robust filtering algorithms applicable to image processing. They were derived using RM-type point estimations and the restriction technique of the well-known specific for image processing KNN filter. The derived RM-KNN filters effectively remove impulsive noise while edge and fine details are preserved. The proposed filters were tested on simulated images and real data and were provided excellent visual quality of the processed images and good quantitative quality in the MSE sense over standard median filter. Recommendations to obtain best processing results by proper selection of derived filter parameters are given. Two derived filters are suitable for impulsive noise reduction in any image processing applications. One can use the RM-KNN filters as the first stage of image enhancement following by any non-robust techniques such as Sigma-filter on the second stage.
KW - Detail-preserving filters
KW - Image processing
KW - Nonlinear filters
KW - Robust point estimators
UR - http://www.scopus.com/inward/record.url?scp=0041938699&partnerID=8YFLogxK
U2 - 10.1117/12.316545
DO - 10.1117/12.316545
M3 - Artículo de la conferencia
AN - SCOPUS:0041938699
SN - 0277-786X
VL - 3389
SP - 190
EP - 201
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Hybrid Image and Signal Processing VI 1998
Y2 - 13 April 1998 through 17 April 1998
ER -