DocumentCode :
3003025
Title :
An adaptive edge enhancing order statistic filter
Author :
Lee, Yong-Hwan ; Tantaratana, Sawasd
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
fYear :
1988
fDate :
11-14 Apr 1988
Firstpage :
1518
Abstract :
A filter which combines L-type structure with a modified median filter (MMF) is proposed for suppressing nonimpulsive as well as impulsive noise. The MMF is designed to reduce edge jitter caused by the median filter. The MMF output is obtained by modifying the median filter output, based on results of hypothesis tests. The proposed filter, named the decision-based order statistic filter (DBOSF), generates the output by using asymmetrical α-trimming with respect to the MMF output. In addition to noise suppression, the DBOSF can enhance the gradient of blurred edges provided that the size of the window is greater than twice the transition with width of the blurred edges. Experimental results for one- and two-dimensional signals are presented to demonstrate performances of the proposed filter
Keywords :
digital filters; filtering and prediction theory; picture processing; signal processing; L-type structure; blurred edges; decision-based order statistic filter; edge jitter; image enhancement; impulsive noise suppression; modified median filter; nonimpulsive noise suppression; one dimensional signals; two-dimensional signals; Adaptive filters; Jitter; Maximum likelihood detection; Noise reduction; Noise shaping; Nonlinear filters; Signal processing; Smoothing methods; Statistics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1988.196892
Filename :
196892
Link To Document :
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