Adaptive nonlinear approach for noise removal of impulsive and nonimpulsive noise in images

Jicheng Li; Zhenkang Shen; Biao Li; Zhiyong Li

doi:10.1117/12.270394

27 March 1997 Adaptive nonlinear approach for noise removal of impulsive and nonimpulsive noise in images

Jicheng Li, Zhenkang Shen, Biao Li, Zhiyong Li

Proceedings Volume 3073, Optical Pattern Recognition VIII; (1997) https://doi.org/10.1117/12.270394
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Jicheng Li, Zhenkang Shen, Biao Li, and Zhiyong Li "Adaptive nonlinear approach for noise removal of impulsive and nonimpulsive noise in images", Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); https://doi.org/10.1117/12.270394

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