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Proceedings Paper

Adaptive nonlinear approach for noise removal of impulsive and nonimpulsive noise in images
Author(s): Jicheng Li; Zhenkang Shen; Biao Li; Zhiyong Li
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Paper Abstract

In this paper, we propose two adaptive filters - the multiple median related (MMR) filter and the least-mean- square-error (LMSE) filter. The MMR filter can reduce edge drifting and preserve more fine detail than the median filter. The LMSE filter, which is based on the local signal- to-noise ratio (SNR), combines with MMR filter, yielding a filter that can remove non-impulsive noise. Our experimental results the proposed algorithm is robust in preserving edges,e reducing edge drifting and suppressing mixed noise in low SNR images. In addition, the algorithm can be implemented by parallel architecture, which enables real- time filter processing of noise-corrupted images.

Paper Details

Date Published: 27 March 1997
PDF: 6 pages
Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); doi: 10.1117/12.270394
Show Author Affiliations
Jicheng Li, National Univ. of Defense Technology (China)
Zhenkang Shen, National Univ. of Defense Technology (China)
Biao Li, National Univ. of Defense Technology (China)
Zhiyong Li, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 3073:
Optical Pattern Recognition VIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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