A New Algorithm for Removal of High-density Salt and Pepper Noises

To improve the performance of high-density salt and pepper noise denoising, a new detail preserving median filter algorithm is proposed in this paper. The method replaces only corrupted pixels by either the trimmed median or the average of previously processed neighborhood pixels, while uncorrupted pixels remain unchanged. Experimental results clearly show that the proposed algorithm outperforms many of the existing methods in terms of visual quality and quantitative measures. The advantage of the proposed method is that it works well for high-density salt & pepper noise even up to a noise density of 90%.