Real-time image filtering with retention of small-size details and complex noise mixture

Volodymyr I. Ponomaryov; Francisco J. Gallegos Funes; Oleksiy B. Pogrebnyak; Luis Nino De Rivera

doi:10.1117/12.458530

Real-time image filtering with retention of small-size details and complex noise mixture

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

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

3 Scopus citations

Abstract

We present the implementation of real-time image filtering with retention of small-size details by means of use of DSP TMS320C6701. The filtering scheme is given for two filters connected in cascade. The first filter uses a similar scheme to KNN filter to provide the preservation of small-size details and the redescending M-estimators combined with the median estimator to provide impulsive noise rejection. The second filter uses an M filter to provide multiplicative noise suppression. We use different types of influence functions in the M-estimator to provide complex noise suppression. The efficiency of the proposed filter has been evaluated by numerous simulations.

Original language	English
Pages (from-to)	30-41
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4666
DOIs	https://doi.org/10.1117/12.458530
State	Published - 2002
Event	Real-Time Imaging VI - San Jose, CA, United States Duration: 23 Jan 2002 → 24 Jan 2002

Keywords

DSP TMS320C6701
Order statistics filters
RM-KNN filters

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10.1117/12.458530

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title = "Real-time image filtering with retention of small-size details and complex noise mixture",

abstract = "We present the implementation of real-time image filtering with retention of small-size details by means of use of DSP TMS320C6701. The filtering scheme is given for two filters connected in cascade. The first filter uses a similar scheme to KNN filter to provide the preservation of small-size details and the redescending M-estimators combined with the median estimator to provide impulsive noise rejection. The second filter uses an M filter to provide multiplicative noise suppression. We use different types of influence functions in the M-estimator to provide complex noise suppression. The efficiency of the proposed filter has been evaluated by numerous simulations.",

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

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T1 - Real-time image filtering with retention of small-size details and complex noise mixture

AU - Ponomaryov, Volodymyr I.

AU - Gallegos Funes, Francisco J.

AU - Pogrebnyak, Oleksiy B.

AU - De Rivera, Luis Nino

PY - 2002

Y1 - 2002

N2 - We present the implementation of real-time image filtering with retention of small-size details by means of use of DSP TMS320C6701. The filtering scheme is given for two filters connected in cascade. The first filter uses a similar scheme to KNN filter to provide the preservation of small-size details and the redescending M-estimators combined with the median estimator to provide impulsive noise rejection. The second filter uses an M filter to provide multiplicative noise suppression. We use different types of influence functions in the M-estimator to provide complex noise suppression. The efficiency of the proposed filter has been evaluated by numerous simulations.

AB - We present the implementation of real-time image filtering with retention of small-size details by means of use of DSP TMS320C6701. The filtering scheme is given for two filters connected in cascade. The first filter uses a similar scheme to KNN filter to provide the preservation of small-size details and the redescending M-estimators combined with the median estimator to provide impulsive noise rejection. The second filter uses an M filter to provide multiplicative noise suppression. We use different types of influence functions in the M-estimator to provide complex noise suppression. The efficiency of the proposed filter has been evaluated by numerous simulations.

KW - DSP TMS320C6701

KW - Order statistics filters

KW - RM-KNN filters

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U2 - 10.1117/12.458530

DO - 10.1117/12.458530

M3 - Artículo de la conferencia

AN - SCOPUS:0036406619

SN - 0277-786X

VL - 4666

SP - 30

EP - 41

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

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

T2 - Real-Time Imaging VI

Y2 - 23 January 2002 through 24 January 2002

ER -

Real-time image filtering with retention of small-size details and complex noise mixture

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Keywords

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