Abstract
In this paper, we present a new restoration technique for colour images. This technique is developed for restoring colour images that are corrupted with impulse noise. The estimated histograms for the colour component differences (red-green, red-blue and green-blue) are used to construct fuzzy sets. Those fuzzy sets are then incorporated in a fuzzy rule based system in order to filter out the impulse noise. Experiments finally show the shortcomings of the conventional methods in contrast to the proposed method.
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Schulte, S., De Witte, V., Nachtegael, M., Van der Weken, D., Kerre, E.E. (2005). A Novel Histogram Based Fuzzy Impulse Noise Restoration Method for Colour Images. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_79
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DOI: https://doi.org/10.1007/11558484_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29032-2
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