Noise Removal in Color Images Based on Image Gradient Information

We propose a novel noise removal algorithm in color images. First, gradient is extended for color images. On this extended gradient, an algorithm called gradient peer group is used to detect the noise in color images and the peer group averaging algorithm is applied to remove the noise detected. The experiment shows that the proposed algorithm can detect and remove noise in color images effectively. The quality of images after noise removal is better than the ones reconstructed by other algorithms.

Abstract licence: CC BY

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