Robust Statistics Based Algorithm to Remove Salt and Pepper Noise in Images

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Algorithm to Remove Salt and Pepper Noise in Images</title> <meta name="description" content="Robust Statistics Based Algorithm to Remove Salt and Pepper Noise in Images"> <meta name="keywords" content="Image denoising, Nonlinear filter, Robust Statistics,and Salt and Pepper Noise."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Robust Statistics Based Algorithm to Remove Salt and Pepper Noise in Images"> <meta name="citation_author" content="V.R.Vijaykumar"> <meta name="citation_author" content="P.T.Vanathi"> <meta name="citation_author" content="P.Kanagasabapathy"> <meta name="citation_author" content="D.Ebenezer"> <meta name="citation_publication_date" content="2009/11/23"> <meta name="citation_journal_title" content="International Journal of Computer and Information Engineering"> <meta name="citation_volume" content="3"> <meta name="citation_issue" 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href="https://publications.waset.org/search?q=V.R.Vijaykumar">V.R.Vijaykumar</a>, <a href="https://publications.waset.org/search?q=P.T.Vanathi"> P.T.Vanathi</a>, <a href="https://publications.waset.org/search?q=P.Kanagasabapathy"> P.Kanagasabapathy</a>, <a href="https://publications.waset.org/search?q=D.Ebenezer"> D.Ebenezer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>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</p> <iframe src="https://publications.waset.org/1823.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Image%20denoising" title="Image denoising">Image denoising</a>, <a href="https://publications.waset.org/search?q=Nonlinear%20filter" title=" Nonlinear filter"> Nonlinear filter</a>, <a href="https://publications.waset.org/search?q=Robust%20Statistics" title=" Robust Statistics"> Robust Statistics</a>, <a href="https://publications.waset.org/search?q=and%20Salt%20and%20Pepper%20Noise." title="and Salt and Pepper Noise.">and Salt and Pepper Noise.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1055912" target="_blank">doi.org/10.5281/zenodo.1055912</a> </p> <a href="https://publications.waset.org/1823/robust-statistics-based-algorithm-to-remove-salt-and-pepper-noise-in-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/1823/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/1823/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/1823/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/1823/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/1823/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/1823/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/1823/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/1823/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/1823/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/1823/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/1823.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">2202</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Pitas I. and Venetsanopoulos A. N., 脭脟每Nonlinear Digital Filters: Principles and Applications-, Boston, MA: Kluwer Academic, 1990. <br>[2] Gonzalez R.C. and Woods R.E., 脭脟每Digital Image Processing-, Addison- Wesley Publishing Company,2002. <br>[3] Bovik A.C., 脭脟每Handbook of Image and Video Processing-, Academic Press, 2000. <br>[4] Pratt W. K., 脭脟每Digital Image Processing-. New York Wiley, 1991. <br>[5] Astola J and P.Kuosmanen, Fundamentals of Nonlinear Digital Filtering, CRC Press, 1997. <br>[6] Hung T.S., G.J Yang, and G.Y. Tang , 脭脟每Fast two dimensional median filtering algorithm-, IEEE Transactions on Acoustics Speech and Signal Processing , vol. 1 pp 13-18 , 1979. <br>[7] Srinivasan E. and Ebenezer D., 脭脟每New Nonlinear Filtering Strategies for Eliminating Short and Long Tailed Noise in Images with Edge Preservation Properties-, International Journal of Signal Processing, Vol.4, No.3, pp. 175- 181, 2007. <br>[8] Brownrigg D.R.K., 脭脟每The weighted median filter,- Communication, ACM, Vol. 27, No.8, pp. 807-818, 1984. <br>[9] Ko S.J. and Lee Y.H., 脭脟每Center weighted median filters and their applications to image enhancement,- IEEE Trans. Circuits Systems, Vol. 38, No. 9, pp. 984 - 993, 1991. <br>[10] Arce G. and Paredes J., 脭脟每Recursive Weighted Median Filters Admitting Negative Weights and Their Optimization-, IEEE Trans. on Signal Processing, Vol. 48, No. 3, pp. 768-779, 2000. <br>[11] Hwang H. and Haddad R. A., 脭脟每Adaptive median filters: new and results-, IEEE Trans. on Image Processing, Vol. 4, No.4,pp. 499-502, 1995. <br>[12] Abreu E., Lightstone M. and Mitra S.K., 脭脟每A New Efficient Approach for the Removal of Impulse Noise from Highly Corrupted Images-, IEEE Trans. on Image Processing,Vol.5,No.6,pp. 1012-1025, 1996. <br>[13] Tao Chen, Kai-Kuang Ma and Li-Hui Chen (1999), 脭脟每Tri-State Median Filter for Image Denoising-, IEEE Trans. on Image Processing, Vol. 8, No.8, pp.1-3, 1999. <br>[14] Z. Wang and D. Zhang, "Progressive switching median filter for the removal of impulse noise from highly corrupted imges", IEEE Transactions on Circuits and Systems II, Vol.46 pp 78-80, 1999. <br>[15] Tao Chen and Hong Ren Wu, 脭脟每Space Variant Median Filters for the Restoration of Impulse Noise Corrupted Images-, IEEE trans. on circuits and systems II: analog and digital signal processing, Vol. 48, No. 8, pp.784 -789, 2001. <br>[16] How-Lung Eng and Kai-Kuang Ma, 脭脟每Noise Adaptive Soft-Switching Median Filter-, IEEE Trans. On Image Processing, Vol. 10, No. 2, pp. 242 - 251, 2001. <br>[17] Yuan S.Q. and Tan Y.H., 脭脟每Difference-type noise detector for adaptive median filter-, Electronics letters, Vol. 42, No.8, pp. 454 - 455, 2006. <br>[18] Wenbin Luo, 脭脟每An Efficient Detail-Preserving Approach for Removing Impulse Noise in Images-, IEEE signal processing letters, Vol. 13, No.7, pp. 413 - 416, 2006. <br>[19] Deng Ze-Feng, Yin Zhou-Ping, and Xiong You-Lun, 脭脟每High Probability Impulse Noise-Removing Algorithm Based on Mathematical Morphology-, IEEE signal processing Letters., Vol. 14, No.1, pp.31- 34.,2007. <br>[20] Srinivasan K. S. and Ebenezer D., 脭脟每A New Fast and Efficient Decision- Based Algorithm for Removal of High-Density Impulse Noises- IEEE signal processing letters, Vol. 14, No. 3, pp.189 -192, 2007. <br>[21] Raymond H. Chan, Chung-Wa Ho, and Mila Nikolova, 脭脟每Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization-, IEEE Trans. on Image Processing, Vol.14, No.10, pp.1479-1485, 2005. <br>[22] Rabie, "Robust Estimation Approach for Blind Denoising", IEEE Trans. Image Processing, vol.14, no.11, pp.1755-1765, 2005. <br>[23] Kashyap R. and Eom K (1988), 脭脟每Robust image modeling techniques with an image restoration application-, IEEE Trans. Acoust., Speech, Signal Processing , Vol. 36, No. 8, pp. 1313-1325, 1988. <br>[24] A. Hamza and H. Krim, "Image denoising: A nonlinear robust statistical approach", IEEE Trans. Signal Process., vol. 49, no. 12, pp. 3045-3054, Dec. 2001. <br>[25] Sardy S., Tseng P., and Brace A., 脭脟每Robust Wavelet Denoising-, IEEE Trans. Signal Processing., Vol. 49, No. 6, pp. 1146-1152, 2001. <br>[26] Ponomaryov V.I, Funes F. J. G, Pogrebnyak O.B, and De Rivera L. N., 脭脟每Denoising robust image filter with retention of small-size details in presence of complex noise mixture,- in Proc. SPIE Conf. Visual Communications and Image Processing, Vol. 4671 II, San Jose, CA, pp. 877-887, 2002. <br>[27] Black M.J. and Rangarajan A. (1994), 脭脟每The outlier process: Unifying line Processes and robust statistics-, IEEE Conf. Computer Vision and Pattern Recognition. (Online). Available: citeseer.nj.nec.com/ black94outlier.html <br>[28] Black M.J., Guillermo Sapiro, David Marimont, and David Heeger (1998), 脭脟每Robust Anisotropic Diffusion-, IEEE Trans. on Image Processing, Vol. 7, No.3, pp. 421- 432, 1998. <br>[29] Huber P.S., 脭脟每Robust Statistics-, John Wiley,1981. <br>[30] Hampel F.R., Ronchetti E.M., Rousseeuw P.J. and Stahel W.A., 脭脟每Robust Statistics: The Approach Based on Influence Functions-, New York: Wiley, 1986. <br>[31] Black M.J., 脭脟每Robust Incremental Optical Flow-, PhD thesis, Yale University, New Haven, CT, Research Report YALEU/ DCS/RR-923, 1992. <br>[32] Black M.J and A. Rangarajan, "On the unification of line processes, outlier rejection, and robust statistics with applications to early vision," International Journal of Computer Vision, Vol.19 , pp. 57-91, 1996. </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

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Robust Statistics Based Algorithm to Remove Salt and Pepper Noise in Images