Order statistics vector directional filters to process multichannel images

Volodymyr I. Ponomaryov; Alberto J. Rosales; Francisco Gallegos-Funes

doi:10.1117/12.689289

Order statistics vector directional filters to process multichannel images

Volodymyr I. Ponomaryov, Alberto J. Rosales, Francisco Gallegos-Funes

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

1 Scopus citations

Abstract

Novel algorithms to suppress impulsive noise in 3D color images are presented. Some of them have demonstrated effectiveness in preservation of inherent characteristics in the images, such as, edges, details and chromaticity. Robust algorithm that uses order statistics, vector directional and adaptive methods is developed applying three-dimensional video processing permitting suppressing a noise. Several algorithms are extended from 2D to 3D for video processing. The results show that proposed Video Adaptive Vector Directional filter outperforms the video versions of Median M-type K-Nearest Neighbour, Vector Median, Generalized Vector Directional, K-Nearest Neighbour, α-trimmed Mean, and Median filters. All of them evaluated during simulation using PSNR, MAE and NCD criteria.

Original language	English
Title of host publication	Image and Signal Processing for Remote Sensing XII
DOIs	https://doi.org/10.1117/12.689289
State	Published - 2006
Event	Image and Signal Processing for Remote Sensing XII - Stockholm, Sweden Duration: 11 Sep 2006 → 14 Sep 2006

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6365
ISSN (Print)	0277-786X

Conference

Conference	Image and Signal Processing for Remote Sensing XII
Country/Territory	Sweden
City	Stockholm
Period	11/09/06 → 14/09/06

Keywords

3D algorithms
Color
Denoising
Three-dimensional
Video processing

Access to Document

10.1117/12.689289

Cite this

@inproceedings{3b6790f049fd437db2451c26c2b95a46,

title = "Order statistics vector directional filters to process multichannel images",

abstract = "Novel algorithms to suppress impulsive noise in 3D color images are presented. Some of them have demonstrated effectiveness in preservation of inherent characteristics in the images, such as, edges, details and chromaticity. Robust algorithm that uses order statistics, vector directional and adaptive methods is developed applying three-dimensional video processing permitting suppressing a noise. Several algorithms are extended from 2D to 3D for video processing. The results show that proposed Video Adaptive Vector Directional filter outperforms the video versions of Median M-type K-Nearest Neighbour, Vector Median, Generalized Vector Directional, K-Nearest Neighbour, α-trimmed Mean, and Median filters. All of them evaluated during simulation using PSNR, MAE and NCD criteria.",

keywords = "3D algorithms, Color, Denoising, Three-dimensional, Video processing",

author = "Ponomaryov, {Volodymyr I.} and Rosales, {Alberto J.} and Francisco Gallegos-Funes",

year = "2006",

doi = "10.1117/12.689289",

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

isbn = "0819464600",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Image and Signal Processing for Remote Sensing XII",

note = "Image and Signal Processing for Remote Sensing XII ; Conference date: 11-09-2006 Through 14-09-2006",

}

Ponomaryov, VI , Rosales, AJ & Gallegos-Funes, F 2006, Order statistics vector directional filters to process multichannel images. in Image and Signal Processing for Remote Sensing XII., 636505, Proceedings of SPIE - The International Society for Optical Engineering, vol. 6365, Image and Signal Processing for Remote Sensing XII, Stockholm, Sweden, 11/09/06. https://doi.org/10.1117/12.689289

Order statistics vector directional filters to process multichannel images. / Ponomaryov, Volodymyr I.; Rosales, Alberto J.; Gallegos-Funes, Francisco.
Image and Signal Processing for Remote Sensing XII. 2006. 636505 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6365).

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

TY - GEN

T1 - Order statistics vector directional filters to process multichannel images

AU - Ponomaryov, Volodymyr I.

AU - Rosales, Alberto J.

AU - Gallegos-Funes, Francisco

PY - 2006

Y1 - 2006

N2 - Novel algorithms to suppress impulsive noise in 3D color images are presented. Some of them have demonstrated effectiveness in preservation of inherent characteristics in the images, such as, edges, details and chromaticity. Robust algorithm that uses order statistics, vector directional and adaptive methods is developed applying three-dimensional video processing permitting suppressing a noise. Several algorithms are extended from 2D to 3D for video processing. The results show that proposed Video Adaptive Vector Directional filter outperforms the video versions of Median M-type K-Nearest Neighbour, Vector Median, Generalized Vector Directional, K-Nearest Neighbour, α-trimmed Mean, and Median filters. All of them evaluated during simulation using PSNR, MAE and NCD criteria.

AB - Novel algorithms to suppress impulsive noise in 3D color images are presented. Some of them have demonstrated effectiveness in preservation of inherent characteristics in the images, such as, edges, details and chromaticity. Robust algorithm that uses order statistics, vector directional and adaptive methods is developed applying three-dimensional video processing permitting suppressing a noise. Several algorithms are extended from 2D to 3D for video processing. The results show that proposed Video Adaptive Vector Directional filter outperforms the video versions of Median M-type K-Nearest Neighbour, Vector Median, Generalized Vector Directional, K-Nearest Neighbour, α-trimmed Mean, and Median filters. All of them evaluated during simulation using PSNR, MAE and NCD criteria.

KW - 3D algorithms

KW - Color

KW - Denoising

KW - Three-dimensional

KW - Video processing

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DO - 10.1117/12.689289

M3 - Contribución a la conferencia

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SN - 0819464600

SN - 9780819464606

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Image and Signal Processing for Remote Sensing XII

T2 - Image and Signal Processing for Remote Sensing XII

Y2 - 11 September 2006 through 14 September 2006

ER -

Order statistics vector directional filters to process multichannel images

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Keywords

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