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What is Random-Valued Impulse Noise Removal about?

This paper presents a novel three-step method for detecting and removing random-valued impulse noise (RVIN) in grayscale images, which includes noise density estimation, noise detection, and image restoration using a modified weighted mean filter. The proposed method outperforms existing denoising algorithms by accurately estimating noise density and effectively distinguishing between noisy and edge pixels, thereby preserving fine image details. Experimental results demonstrate significant improvements in n

Author

vgvyshnavi16

Language

EN