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- W4246574429 abstract "A Decision tree based algorithm for the removal of equal and unequal probability salt and pepper noise in images is proposed. The algorithm aims to address one solution for different salt and pepper noise models. The proposed algorithm operates on an image using fixed 3*3 window. The decision tree based algorithm classifies pixel into noisy or not based on the decision and replaces it with mean of neighbours or unsymmetrical trimmed median or unsymmetrical trimmed midpoint. The algorithm exhibit excellent noise elimination capability at high noise densities in terms of quantitative and qualitative perspective. The algorithm was found to exhibit good noise removal characteristics for three noise models" @default.
- W4246574429 created "2022-05-12" @default.
- W4246574429 date "2019-11-02" @default.
- W4246574429 modified "2023-09-30" @default.
- W4246574429 title "Decision Tree Based Algorithm for Removal of Different Probability Salt and Pepper Noise in Images" @default.
- W4246574429 doi "https://doi.org/10.35940/ijrte.b1428.0982s1119" @default.
- W4246574429 hasPublicationYear "2019" @default.
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