Advanced SearchSearch Tips
A Study on Removal of Salt and Pepper Noise using Deformable Masks Depending on the Noise Density
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Study on Removal of Salt and Pepper Noise using Deformable Masks Depending on the Noise Density
Hong, Sang-Woo; Kim, Nam-Ho;
  PDF(new window)
In digital era image processing has been utilized in a variety of media such as TV, camera and smart phone. Typically salt and pepper noise are generated by various causes during the analysis, identification, and processing of image data. Principal filters such as SMF, CWMF, and AMF have been used to remove these noise. But the existing filters fall short of edge preservation and noise elimination in high noise densities. Thus, a processing algorithm, on which the size of deformable mask varies depending on the noise density, is proposed to remove salt and pepper noise effectively in this study. The performance of the proposed method was evaluated compared with the existing methods using PSNR.
Salt and Pepper Noise;Deformable Masks;Noise Elimination;PSNR;
 Cited by
C. S. Cho and H. S. Kang, Multimedia signal processing, second edition, pp. 2-6, 2011.

L. Xu and N. H. Kim, "Modified median filter for impulse noise removal" JKIICE, vol. 17, no. 2, pp. 461-446, 2013.

R. Öten and F. De, “daptive alpha-trimmed mean filter under deviations from assumed noise model” IEEE Trans., Image Processing, vol. 13, no. 5, pp. 627-639, May 2004. crossref(new window)

T. Chan and H. Wu, “daptive impulse detection using center-weighed median filters", IEEE Letters Signal Processing, vol. 8, no. 1, pp. 1-3, Jan. 2011. crossref(new window)

B. Wei, “mproved adaptive median filtering” Journal of Computer Application, vol. 13, no. 2, pp. 1732-1734, July 2008. crossref(new window)

S. J. Ko and Y. H. Lee, "Center weighted median filters and their application to image enhancement" IEEE Trans. Circuits system, vol. 38, no. 9, pp. 984-993, 1991. crossref(new window)

Xu Long and Nam-Ho Kim, "A study on directionally weighted filter for algorithm in impulse noise environments." JKIICE,vol. 18, no. 7, pp. 1734-1739, 2014.

L. Xu and N. H. Kim, "An improved adaptive median filter for impulse noise removal " JKIICE, vol. 17, no. 4, pp. 989-995, 2013.

T. Veerakumar, S. Esakkirajan and L. Vennila, “n efficient approach to remove random valued impulse noise in images" ICRTIT, 2012 International Conference on. pp. 490-503, 2012.