Abstract
This paper proposes a new efficient noise adaptive weighted switching median filter for the restoration of images that are corrupted by high density of impulse noise. The proposed method consists of two phases- noise detection and filtering. In our proposed method, the filtering window size is chosen adaptively depending on the percentage of noise that corrupts the image. Noise detection is done by using Boundary Discriminative Noise Detection method proposed by P.-E Ng et.al and then filtering is applied to only the corrupted pixels in the noisy image. Each detected noisy pixel is replaced by a weighted median value of uncorrupted pixels in the filtering window. Weight value assigned to each uncorrupted pixel depends on its closeness to the central pixel.
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Nair, M.S., Mol, P.M.A. (2011). Noise Adaptive Weighted Switching Median Filter for Removing High Density Impulse Noise. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22720-2_19
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DOI: https://doi.org/10.1007/978-3-642-22720-2_19
Publisher Name: Springer, Berlin, Heidelberg
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