Abstract
A new anisotropic diffusion-filtering scheme to smooth images with heavy-tailed or binary noise types similar to salt&pepper noise is presented. The proposed scheme estimates edge gradient from an image that is smoothed or ”regularized” with a median filter. Its performance was demonstrated on synthetic images that were corrupted by Gaussian, salt&pepper and Weibull noises, and actual medical images. The visual and quantitative evaluation of the scheme demonstrated comparable or better performance.
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© 2004 Springer-Verlag Berlin Heidelberg
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Demirkaya, O. (2004). Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering. In: Sonka, M., Kakadiaris, I.A., Kybic, J. (eds) Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis. MMBIA CVAMIA 2004 2004. Lecture Notes in Computer Science, vol 3117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27816-0_10
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DOI: https://doi.org/10.1007/978-3-540-27816-0_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22675-8
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