Image order statistics filtering procedures in presence of complex noise

Volodymyr I. Ponomaryov; Francisco J. Gallegos Funes; Luis Nino de Rivera

doi:10.1117/12.477583

30 July 2002 Image order statistics filtering procedures in the presence of complex noise

Volodymyr I. Ponomaryov, Francisco J. Gallegos Funes, Luis Nino de Rivera

Proceedings Volume 4736, Visual Information Processing XI; (2002) https://doi.org/10.1117/12.477583
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

In this paper, we present the real-time implementation of image filtering for impulse and mixture of impulsive and multiplicative noise removal with detail preservation by means of use of DSP TMS320C6701. The filtering scheme is given for two filters connected in cascade. In the first stage, we use the MM-KNN (Median M-type K-Nearest Neighbor) filter to provide detail preservation and impulsive noise rejection. The second stage is proposed to use an M filter to provide multiplicative noise suppression. We use different types of influence functions in the M-estimator to provide better noise suppression. Extensive simulation results demonstrate that the proposed filter consistently outperforms other filters by balancing the tradeoff between noise suppression and detail preservation.

Citation Download Citation

Volodymyr I. Ponomaryov, Francisco J. Gallegos Funes, and Luis Nino de Rivera "Image order statistics filtering procedures in the presence of complex noise", Proc. SPIE 4736, Visual Information Processing XI, (30 July 2002); https://doi.org/10.1117/12.477583

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