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Short Communication: Multichannel image processing by using the Rank M-type L-filter

Authors:

Francisco J. Gallegos-Funes,

Alberto J. Rosales-Silva,

Antonio Toledo-LopezAuthors Info & Claims

Journal of Visual Communication and Image Representation, Volume 23, Issue 2

Pages 323 - 330

https://doi.org/10.1016/j.jvcir.2011.11.007

Published: 01 February 2012 Publication History

Abstract

In this paper, we introduce the Vector Rank M-type L (VRML)-filter to remove impulsive noise from color images and video sequences. The proposed filter uses the Median M-type (MM) and Ansari-Bradley-Siegel-Tukey M-type (AM) estimators into L-filter to provide robustness to proposed filtering scheme. We also introduce the use of impulsive noise detectors to improve the properties of noise suppression and detail preservation in the proposed filtering scheme in the case of low and high densities of impulsive noise. Simulation results indicate that the proposed filter consistently outperforms other color image filters by balancing the trade-off between noise suppression, detail preservation, and color retention.

References

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Bovik, A., Handbook of Image and Video Processing. 2000. Academic Press, San Diego.

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Plataniotis, K.N. and Venetsanopoulos, A.N., Color Image Processing and Applications. 2000. Springer-Verlag, Berlin.

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Astola, J. and Kuosmanen, P., Fundamentals of Nonlinear Digital Filtering. 1997. CRC Press, Boca Raton-New York.

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Lukac, R. and Plataniotis, K.N., A Taxonomy of Color Image Filtering and Enhancement Solutions. In: Hawkes, P.W. (Ed.), Advances in Imaging and Electron Physics, vol.140. Elsevier/Academic Press. pp. 187-264.

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Lukac, R., Smolka, B., Martin, K., Plataniotis, K.N. and Venetsanopoulos, A.N., Vector Filtering for Color Imaging. IEEE Signal Processing Magazine, Special Issue on Color Image Processing. v22 i1. 74-86.

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Plataniotis, K.N., Androutsos, D., Vinayagamoorthy, S. and Venetsanopoulos, A.N., Color Image Processing Using Adaptive Multichannel Filters. IEEE Transactions on Image Processing. v6 i7. 933-949.

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Trahanias, E., Karakos, D.G. and Venetsanopoulos, A.N., Directional processing of color images: Theory and experimental results. IEEE Transactions on Image Processing. v5. 868-880.

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Gallegos-Funes, F.J. and Ponomaryov, V.I., Real-time image filtering scheme based on robust estimators in presence of impulsive noise. Real Time Imaging. v8 i2. 78-90.

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Gallegos-Funes, F., Ponomaryov, V. and De-La Rosa, J., ABST M-Type K-Nearest Neighbor (ABSTM-KNN) for Image Denoising. IEICE Transaction on Fundamentals of Electronics, Communications and Computer Sciences. vE88-A i3. 798-799.

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Hampel, F.R., Ronchetti, E.M., Rouseew, P.J. and Stahel, W.A., . 1986. The Approach Based on Influence Function, 1986.Wiley, New York.

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Pitas, I. and Venetsanopoulos, A.N., Nonlinear Digital Filters. 1990. Kluwer Academic Publishers, Boston.

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Gallegos-Funes, F., Varela-Benitez, Jose and Ponomaryov, V., Rank M-Type L (RM L)-Filter for Image Denoising. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. vE91-A i12. 3817-3819.

[13]

A. Toledo-Lopez, F. J. Gallegos-Funes, V. Ponomaryov, Vector Median M-Type L Filter to Process Multichannel Images, Lecture Notes in Computer Science, vol. LNCS 5197, (2008) 54-61.

[14]

Aizenberg, I., Astola, J., Bregin, T., Butakoff, C., Egiazarian, K. and Paily, D., Detectors of the impulsive noise and new effective filters for the impulsive noise reduction. Proceedings of SPIE Image Processing, Algorithms and Systems II. v5014. 419-428.

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Barni, M. and Cappellini, V., On the computational complexity of multivariate median filters. Signal Processing. v71. 45-54.

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Ponomaryov, V., Gallegos-Funes, F. and Rosales-Silva, A., Real-time color image processing using order statistics filters. Journal of Mathematical Imaging and Vision. v23 i3. 315-319.

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Smolka, B., Lukac, R., Chydzinski, A., Plataniotis, K.N. and Wojciechowski, W., Fast adaptive similarity based impulsive noise reduction filter. Real-Time Imaging. v9 i4. 261-276.

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Lukac, R., Smolka, B., Plataniotis, K.N. and Venetsanopoulos, A.N., Selection weighted vector directional filters. Computer Vision and Image Understanding. v94. 140-167.

Cited By

Kumar ARani RSingh S(2023)A survey of recent advances in image steganographySecurity and Privacy10.1002/spy2.2816:3Online publication date: 8-May-2023
Carvajal-Gamez BGallegos-Funes FRosales-Silva A(2013)Color local complexity estimation based steganographic (CLCES) methodExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.08.02440:4(1132-1142)Online publication date: 1-Mar-2013
https://dl.acm.org/doi/10.1016/j.eswa.2012.08.024

Short Communication: Multichannel image processing by using the Rank M-type L-filter
1. Computing methodologies
  1. Artificial intelligence
  2. Computer graphics

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Information & Contributors

Information

Published In

cover image Journal of Visual Communication and Image Representation

Journal of Visual Communication and Image Representation Volume 23, Issue 2

February, 2012

167 pages

ISSN:1047-3203

Issue’s Table of Contents

Copyright © Elsevier Inc. © 2011.

Publisher

Academic Press, Inc.

United States

Publication History

Published: 01 February 2012

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Cited By

Kumar ARani RSingh S(2023)A survey of recent advances in image steganographySecurity and Privacy10.1002/spy2.2816:3Online publication date: 8-May-2023
Carvajal-Gamez BGallegos-Funes FRosales-Silva A(2013)Color local complexity estimation based steganographic (CLCES) methodExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.08.02440:4(1132-1142)Online publication date: 1-Mar-2013
https://dl.acm.org/doi/10.1016/j.eswa.2012.08.024

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