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- W2034673594 abstract "In this paper an efficient nonlinear decision based filter is proposed to remove salt and pepper impulse noise. Propose filter is a two stage filter that incorporates a powerful impulse noise detection method, called the modified boundary discriminative noise detection (MBDND) [1] to determine whether the current pixel is corrupted or not. In the second stage a Euclidean distance algorithm [2] is used to restore the corrupted pixels. Extensive experimental results demonstrate that proposed filters performs significantly better than many existing, well accepted and recently proposed median and decision based filters for both gray scale and color images corrupted up to 70% of salt and pepper noise." @default.
- W2034673594 created "2016-06-24" @default.
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- W2034673594 date "2011-04-15" @default.
- W2034673594 modified "2023-09-27" @default.
- W2034673594 title "Efficient algorithm for salt and pepper noise removal" @default.
- W2034673594 doi "https://doi.org/10.1117/12.896169" @default.
- W2034673594 hasPublicationYear "2011" @default.
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