Abstract
An effective algorithm for automatic removal impulse noise from highly corrupted monochromatic images is proposed. The method consists of two steps. Outliers are first detected using local spatial relationships between image pixels. Then the detected noise pixels are replaced with the output of a rank-order filter over a local spatially connected area excluding the outliers, while noise-free pixels are left unaltered. Simulation results in test images show a superior performance of the proposed filtering algorithm comparing with conventional filters. The comparisons are made using mean square error, mean absolute error, and subjective human visual error criterion.
Keywords
- Mean Square Error
- Impulse Noise
- Central Pixel
- Mean Absolute Error
- Impulsive Noise
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Chapter PDF
References
Pitas, I., Venetsanopoulos, A.N.: Nonlinear digital filters. Principles and applications. Kluwer Academic Publishers, Boston (1990)
Tsekeridou, S., Kotropoulos, C., Pitas, I.: Adaptive order statistic filters for the removal of noise from corrupted images. Optical Engineering 37, 2798–2815 (1998)
Abreu, E., Linghtstone, M., Mitra, S.K., Arakawa, K.: A new efficient approach for the removal of impulse noise from highly corrupted images. IEEE Trans. on Image Processing 2(6), 1012–1025 (1993)
Lehmann, T., Oberschelp, W., Pelikan, E., Repges, R.: Image processing for medical images. Springer, Heidelberg (1997)
Zhang, D., Wang, Z.: Impulse noise detection and removal using fuzzy techniques. Electronics Letter 33(5), 378–379 (1997)
David, H.A.: Order statistics. Wiley, New York (1970)
Kober, V., Mozerov, M., Alvarez-Borrego, J.: Nonlinear filters with spatially connected neighborhoods. Optical Engineering 40(6), 971–983 (2001)
Mozerov, M., Kober, V., Choi, T.: Noise Removal from highly corrupted color images with adaptive neighborhoods. IEICE Trans. on Fund. E86-A(10), 2713–2717 (2003)
Kober, V., Mozerov, M., Alvarez-Borrego, J.: Spatially adaptive algorithms for impulse noise removal from color images. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds.) CIARP 2003. LNCS, vol. 2905, pp. 113–120. Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kober, V., Mozerov, M., Álvarez-Borrego, J. (2005). Automatic Removal of Impulse Noise from Highly Corrupted Images. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_4
Download citation
DOI: https://doi.org/10.1007/11578079_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29850-2
Online ISBN: 978-3-540-32242-9
eBook Packages: Computer ScienceComputer Science (R0)
Publish with us
-
Published in cooperation with
http://www.iapr.org/
