Abstract
Many filtering methods for Gaussian noise smoothing in colour images have been proposed. The common objective of these methods is to smooth out the noise while preserving the edges and details of the image. However, it can be observed that these methods, in their effort to preserve the image structures, also generate artefacts in homogeneous regions that are actually due to noise. So, these methods can perform well in image edges and details but sometimes they do not achieve the desired smoothing in homogeneous regions. In this paper we propose a method to overcome this problem. We use fuzzy concepts to build a soft-switching technique between two Gaussian noise filters: (i) a filter able to smooth out the noise near edges and fine features while properly preserving those details and (ii) a filter able to achieve the desired smoothing in homogeneous regions. Experimental results are provided to show the performance achieved by the proposed solution.
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Morillas, S., Schulte, S., Mélange, T., Kerre, E.E., Gregori, V. (2007). A Soft-Switching Approach to Improve Visual Quality of Colour Image Smoothing Filters. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_23
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DOI: https://doi.org/10.1007/978-3-540-74607-2_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74606-5
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