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

Image order statistics filtering procedures in presence of complex noise

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

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	213-223
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4736
DOIs	https://doi.org/10.1117/12.477583
State	Published - 2002
Event	Visual Information Processing XI - Orlando, FL, United States Duration: 4 Apr 2002 → 4 Apr 2002

Keywords

DSP TMS320C6701
MM-KNN filters
Order statistics filters

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10.1117/12.477583

Cite this

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title = "Image order statistics filtering procedures in presence of complex noise",

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.",

keywords = "DSP TMS320C6701, MM-KNN filters, Order statistics filters",

author = "Ponomaryov, {Volodymyr I.} and {Gallegos Funes}, {Francisco J.} and {De Rivera}, {Luis Nino}",

year = "2002",

doi = "10.1117/12.477583",

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volume = "4736",

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TY - JOUR

T1 - Image order statistics filtering procedures in presence of complex noise

AU - Ponomaryov, Volodymyr I.

AU - Gallegos Funes, Francisco J.

AU - De Rivera, Luis Nino

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

KW - DSP TMS320C6701

KW - MM-KNN filters

KW - Order statistics filters

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U2 - 10.1117/12.477583

DO - 10.1117/12.477583

M3 - Artículo de la conferencia

AN - SCOPUS:0036408601

SN - 0277-786X

VL - 4736

SP - 213

EP - 223

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Visual Information Processing XI

Y2 - 4 April 2002 through 4 April 2002

ER -

Image order statistics filtering procedures in presence of complex noise

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Keywords

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