TY - JFULL AU - V.R.Vijaykumar and P.T.Vanathi and P.Kanagasabapathy and D.Ebenezer PY - 2009/12/ TI - Robust Statistics Based Algorithm to Remove Salt and Pepper Noise in Images T2 - International Journal of Computer and Information Engineering SP - 2667 EP - 2677 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/1823 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 35, 2009 N2 - In this paper, a robust statistics based filter to remove salt and pepper noise in digital images is presented. The function of the algorithm is to detect the corrupted pixels first since the impulse noise only affect certain pixels in the image and the remaining pixels are uncorrupted. The corrupted pixels are replaced by an estimated value using the proposed robust statistics based filter. The proposed method perform well in removing low to medium density impulse noise with detail preservation upto a noise density of 70% compared to standard median filter, weighted median filter, recursive weighted median filter, progressive switching median filter, signal dependent rank ordered mean filter, adaptive median filter and recently proposed decision based algorithm. The visual and quantitative results show the proposed algorithm outperforms in restoring the original image with superior preservation of edges and better suppression of impulse noise ER -