Vector rank M-type K-nearest neighbor filters for multichannel image processing

Francisco Gallegos-Funes; Volodymyr Ponomaryov; Alberto Rosales-Silva

Vector rank M-type K-nearest neighbor filters for multichannel image processing

Francisco Gallegos-Funes, Volodymyr Ponomaryov, Alberto Rosales-Silva

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present the Vector Rank M-type K-Nearest Neighbor (VRMKNN) filter to remove impulsive noise from color images. This filter utilizes multichannel image processing by using the vector approach and the Rank M-Type K-Nearest Neighbor (RMKNN) algorithm. The implementation of the filter was realized on the DSP TMS320C6711 to demonstrate that the proposed filter potentially could provide a real-time solution to quality of image/video transmision. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression and detail preservation.

Original language	English
Title of host publication	2004 1st International Conference on Electrical and Electronics Engineering, ICEEE
Pages	147-150
Number of pages	4
State	Published - 2004
Event	2004 1st International Conference on Electrical and Electronics Engineering, ICEEE - Acapulco, Mexico Duration: 8 Sep 2004 → 10 Sep 2004

Publication series

Name	2004 1st International Conference on Electrical and Electronics Engineering, ICEEE

Conference

Conference	2004 1st International Conference on Electrical and Electronics Engineering, ICEEE
Country/Territory	Mexico
City	Acapulco
Period	8/09/04 → 10/09/04

Cite this

@inproceedings{0b7fcb4f0838424cb7e787f58f46cfa0,

title = "Vector rank M-type K-nearest neighbor filters for multichannel image processing",

abstract = "We present the Vector Rank M-type K-Nearest Neighbor (VRMKNN) filter to remove impulsive noise from color images. This filter utilizes multichannel image processing by using the vector approach and the Rank M-Type K-Nearest Neighbor (RMKNN) algorithm. The implementation of the filter was realized on the DSP TMS320C6711 to demonstrate that the proposed filter potentially could provide a real-time solution to quality of image/video transmision. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression and detail preservation.",

author = "Francisco Gallegos-Funes and Volodymyr Ponomaryov and Alberto Rosales-Silva",

year = "2004",

language = "Ingl{\'e}s",

isbn = "0780385314",

series = "2004 1st International Conference on Electrical and Electronics Engineering, ICEEE",

pages = "147--150",

booktitle = "2004 1st International Conference on Electrical and Electronics Engineering, ICEEE",

note = "2004 1st International Conference on Electrical and Electronics Engineering, ICEEE ; Conference date: 08-09-2004 Through 10-09-2004",

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Gallegos-Funes, F , Ponomaryov, V & Rosales-Silva, A 2004, Vector rank M-type K-nearest neighbor filters for multichannel image processing. in 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE. 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE, pp. 147-150, 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE, Acapulco, Mexico, 8/09/04.

Vector rank M-type K-nearest neighbor filters for multichannel image processing. / Gallegos-Funes, Francisco ; Ponomaryov, Volodymyr ; Rosales-Silva, Alberto.
2004 1st International Conference on Electrical and Electronics Engineering, ICEEE. 2004. p. 147-150 (2004 1st International Conference on Electrical and Electronics Engineering, ICEEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Vector rank M-type K-nearest neighbor filters for multichannel image processing

AU - Gallegos-Funes, Francisco

AU - Ponomaryov, Volodymyr

AU - Rosales-Silva, Alberto

PY - 2004

Y1 - 2004

N2 - We present the Vector Rank M-type K-Nearest Neighbor (VRMKNN) filter to remove impulsive noise from color images. This filter utilizes multichannel image processing by using the vector approach and the Rank M-Type K-Nearest Neighbor (RMKNN) algorithm. The implementation of the filter was realized on the DSP TMS320C6711 to demonstrate that the proposed filter potentially could provide a real-time solution to quality of image/video transmision. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression and detail preservation.

AB - We present the Vector Rank M-type K-Nearest Neighbor (VRMKNN) filter to remove impulsive noise from color images. This filter utilizes multichannel image processing by using the vector approach and the Rank M-Type K-Nearest Neighbor (RMKNN) algorithm. The implementation of the filter was realized on the DSP TMS320C6711 to demonstrate that the proposed filter potentially could provide a real-time solution to quality of image/video transmision. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the tradeoff between noise suppression and detail preservation.

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M3 - Contribución a la conferencia

AN - SCOPUS:24644488660

SN - 0780385314

T3 - 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE

SP - 147

EP - 150

BT - 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE

T2 - 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE

Y2 - 8 September 2004 through 10 September 2004

ER -

Vector rank M-type K-nearest neighbor filters for multichannel image processing

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