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

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Páginas (desde-hasta)	30-41
Número de páginas	12
Publicación	Proceedings of SPIE - The International Society for Optical Engineering
Volumen	4666
DOI	https://doi.org/10.1117/12.458530
Estado	Publicada - 2002
Evento	Real-Time Imaging VI - San Jose, CA, Estados Unidos Duración: 23 ene. 2002 → 24 ene. 2002

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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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Real-time image filtering with retention of small-size details and complex noise mixture. / Ponomaryov, Volodymyr I.; Gallegos Funes, Francisco J.; Pogrebnyak, Oleksiy B. et al.
En: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 4666, 2002, p. 30-41.

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

TY - JOUR

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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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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