Abstract
In this paper the problem of reducing the noise in a digital image preserving information about edges and corners is addressed. To this aim a new technique is described, based on the USAN principle [8]. This principle at each image point swaps the pixel value with a new value, which is more representative of the region where the point lies. This technique is a practical alternative for efficiency and quality of the produced image to the offset- filtering technique proposed by Fischl and Schwartz in [4]. A set of experimental results on artificial and natural noisy images highlights that the new technique has a greater noise reduction capability and preserves edges and corners from smoothing better than other published methods.
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Gallo, G., Giuoco, A.L. (2003). Offset Smoothing Using the USAN’s Principle. In: Petkov, N., Westenberg, M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45179-2_94
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DOI: https://doi.org/10.1007/978-3-540-45179-2_94
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40730-0
Online ISBN: 978-3-540-45179-2
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