Abstract
In this paper problem of impulse noise removal is considered. Specifically, modifications of ranked order adaptive median filter (RAMF) are proposed. RAMF is popular, well established and effective switching median filter for denoising images corrupted by impulse noise. However, the modifications proposed in this paper significantly improve its results, especially in case of highly corrupted images. Results of denosing of images under a wide range of noise corruption (5-95%) using the original and the modified ranked order median filter are presented, compared and discussed. Comparison is made by means of PSNR and SSIM index.
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Fabijańska, A. (2011). Modified Ranked Order Adaptive Median Filter for Impulse Noise Removal. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_8
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DOI: https://doi.org/10.1007/978-3-642-20320-6_8
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