NDLI: An adaptative, nonlinear edge-preserving filter

Content Provider	IEEE Xplore Digital Library
Author	Pomalaza-Raez, C. McGillem, C.
Copyright Year	1974
Abstract	An adaptative filter whose main feature is to preserve edges and impulses present in the signal is analyzed by the computation of the mean-square error (MSE) of its output sequence. The filter in its more general form is highly nonlinear, resembling the M-type estimators used in robust statistics. A simplified form used here allows the exact computation of the MSE when the filter length is finite. This MSE can be compared to the ones obtained for a median filter and a mean filter. It is shown that for a wide range of the filter and signal parameters such as filter length, edge heights, and impulse width, the performance of the filter proposed in this paper is superior to the other filters mentioned above. An additional advantage of the simplified version of the filter is that in most cases, its computation amounts to a linear adaptative averaging. This contrasts with the amount of calculation required to implement the median filter and any other filter based on the order statistics of the measured samples.
Starting Page	571
Ending Page	576
Page Count	6
File Size	569726
File Format	PDF
ISSN	00963518
Volume Number	32
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1984-06-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Pollution measurement Noise robustness Statistics Noise level Noise measurement Length measurement Nonlinear equations Monte Carlo methods Computer simulation
Content Type	Text
Resource Type	Article
Subject	Signal Processing

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