TY - JOUR
T1 - Impulsive noise filtering using a Median Redescending M-Estimator
AU - Mújica-Vargas, Dante
AU - Gallegos-Funes, Francisco J.
AU - De Jesús Rubio, José
AU - Pacheco, Jaime
N1 - Publisher Copyright:
© 2017 IOS Press and the authors. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Salt and Pepper noise removal is an important image preprocessing task, it has two simultaneous demands: the suppression of impulses and the preservation of edges. To address this problem in gray scale images, we propose an efficient method which consists of introducing a Redescending M-Estimator within of the Median-Estimator scheme. The Redescending M-Estimator controls the magnitude of the Salt or Pepper impulses and deletes them when it is necessary; the remaining pixels in the neighborhood are processed by the Median-Estimator in order to obtain an estimation of a noise free pixel. The proposed scheme is applied on the entire image using sliding windows of size 5 × 5; the local information obtained by this window is used to calculate the thresholds and the parameters that characterize the influence functions tested in the Redescending M-Estimator. To improve the suppression ability of our proposal a pulse detector is used, it identifies when is necessary to submit each pixel to the denoising process. The effectiveness of our proposal is verified by quantitative and qualitative results.
AB - Salt and Pepper noise removal is an important image preprocessing task, it has two simultaneous demands: the suppression of impulses and the preservation of edges. To address this problem in gray scale images, we propose an efficient method which consists of introducing a Redescending M-Estimator within of the Median-Estimator scheme. The Redescending M-Estimator controls the magnitude of the Salt or Pepper impulses and deletes them when it is necessary; the remaining pixels in the neighborhood are processed by the Median-Estimator in order to obtain an estimation of a noise free pixel. The proposed scheme is applied on the entire image using sliding windows of size 5 × 5; the local information obtained by this window is used to calculate the thresholds and the parameters that characterize the influence functions tested in the Redescending M-Estimator. To improve the suppression ability of our proposal a pulse detector is used, it identifies when is necessary to submit each pixel to the denoising process. The effectiveness of our proposal is verified by quantitative and qualitative results.
KW - Median-Estimator
KW - Redescending M-Estimator
KW - Salt and Pepper noise
KW - grayscale images
KW - noise suppression
UR - http://www.scopus.com/inward/record.url?scp=85021833456&partnerID=8YFLogxK
U2 - 10.3233/IDA-170885
DO - 10.3233/IDA-170885
M3 - Artículo
AN - SCOPUS:85021833456
SN - 1088-467X
VL - 21
SP - 739
EP - 754
JO - Intelligent Data Analysis
JF - Intelligent Data Analysis
IS - 3
ER -