Abstract
In this paper an All Neighbor Directional Weighted Pixels (ANDWP) based filter has been proposed for removal of highly random valued impulse noise (RVIN). The proposed approach works in two phases. The first phase detects the contaminated pixels by making the differences between the test pixel and its all neighbor pixels aligned in four main directions in the 5 x 5 window. The second phase filters only the noisy pixels based on minimum variance of the four directional pixels. Extensive simulations show that the proposed filter not only provide better performance of de noising RVIN but can preserve more fine detail features even thin lines.
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Mandal, J.K., Mukhopadhyay, S. (2011). A Novel Technique for Removal of Random Valued Impulse Noise Using All Neighbor Directional Weighted Pixels (ANDWP). In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Parallel Distributed Computing. PDCTA 2011. Communications in Computer and Information Science, vol 203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24037-9_11
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DOI: https://doi.org/10.1007/978-3-642-24037-9_11
Publisher Name: Springer, Berlin, Heidelberg
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