De-noising in color images needs to spin straw into the noisy images for eliminating outlier pixels that degrades quality. In this approach a rule based fuzzy logic and a three channel robust estimation are used for noise detection and estimation to reduce Gaussian-impulse noise mixture. Gaussian smoothening is performed over a fuzzy peer group by a weighted averaging (its membership coefficients), which is computed through its membership coefficient. Visual analysis and experimental results using PSNR and MSE values proves improved performance over the existing methods.

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Gaussian Impulse Noise Robust Estimator Noise Suppression