Abstract
In this paper a novel approach to the problem of impulsive noise reduction in color images based on the nonparametric density estimation is presented. The basic idea behind the new image filtering technique is the maximization of the similarities between pixels in a predefined filtering window. The new method is faster than the standard vector median filter and better preserves edges and fine image details. Simulation results show that the proposed method outperforms standard algorithms of the reduction of impulsive noise in color images.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Pitas, I., Venetsanopoulos, A.N.: Nonlinear Digital Filters: Principles and Applications. Kluwer Academic Publishers, Boston (1990)
Plataniotis, K.N., Venetsanopoulos, A.N.: Color Image Processing and Applications. Springer, Heidelberg (June 2000)
Pitas, I., Tsakalides, P.: Multivariate ordering in color image processing. IEEE Trans. on Circuits and Systems for Video Technology 1(3), 247–256 (1991)
Astola, J., Haavisto, P., Neuovo, Y.: Vector median filters. IEEE Proceedings 78, 678–689 (1990)
Plataniotis, K.N., Androutsos, D., Venetsanopoulos, A.N.: Colour Image Processing Using Fuzzy Vector Directional Filters. In: Proceedings of the IEEE Workshop on Nonlinear Signal/Image Processing, Greece, pp. 535–538 (1995)
Smolka, B., Chydzinski, A., Wojciechowski, K., Plataniotis, K., Venetsanopoulos, A.N.: On the reduction of impulsive noise in multichannel image processing. Optical Engineering 40(6), 902–908 (2001)
Scott, D.W.: Multivariate Density Estimation. John Wiley, New York (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Smolka, B. (2003). New Class of Filters for Impulsive Noise Removal in Color Images. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_112
Download citation
DOI: https://doi.org/10.1007/978-3-540-44871-6_112
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40217-6
Online ISBN: 978-3-540-44871-6
eBook Packages: Springer Book Archive