Decision based salt-and-pepper noise reduction using adaptive weighted Bézier approximation

Abstract

The study proposes a novel image denoising algorithm based on Adaptive Weighted Quartic Order Bézier Approximation (AWQBA), for the images corrupted with low density saturated impulse noise, often termed as salt-and-pepper noise. The proposed algorithm first detects the presence of noisy pixel in sliding window of dimension 5×5, followed by smoothing… (More)

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