NDLI: A self-organizing nonlinear filter based on fuzzy clustering

Content Provider	IEEE Xplore Digital Library
Author	Sucher, R.
Copyright Year	1996
Description	Author affiliation: Inst. fur Nachrichtentech. & Hochfrequenztech., Tech. Univ. Wien, Austria (Sucher, R.)
Abstract	In this paper we present a new adaptive algorithm for removal of impulse noise which is based on a combination of impulse detection and nonlinear filtering. The input samples are classified using fuzzy clustering, and the cluster center becomes the output of the nonlinear filter. Based on this estimate, the impulse detector computes the innovation which is used to adapt the weights of the nonlinear filter. This unsupervised learning method is related to blind equalizers and self-organizing neural networks. Thereby, we reduce the necessary a-priori information as well as the total computational complexity. Further, simulation results show that the performance of the new algorithm is equivalent to that of a previously reported method with data ordering. However, since no ordering process is required, the method can be easily extended to multivariate image data.
Starting Page	101
Ending Page	103
File Size	1042907
Page Count	3
File Format	PDF
ISBN	0780330730
DOI	10.1109/ISCAS.1996.540362
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nonlinear filters Adaptive algorithm Adaptive filters Filtering Detectors Technological innovation Unsupervised learning Blind equalizers Neural networks Computational complexity
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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