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EMF1(elastic median filter 1) and EMF2(elastic median filter 2); Salt and Pepper noise removal)

version 1.0.0.0 (1.71 KB) by ugur erkan
elastic median filter 1 and elastic median filter 2(EMF1 and EMF2)

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Updated 14 Nov 2016

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publication date and adress;
U. Erkan, A. Kilicman, Two new methods for removing salt-and-pepper noise from digital images, ScienceAsia 42 (2016): 28–32
ABSTRACT: In this study, we developed two new alternative methods to enhance images which operate satisfactorily with high levels of noise in any given window size. We also conducted a test by adding the most frequently used noise type to the test images of salt-and-pepper noise. The results are compared with other well-known noise remover methods in the literature such as, standard median filter (SMF) and adaptive median filter (AMF), and much better results were obtained. For instance, the results of SMF and AMF filters as well as peak signal-to-noise ratio (PSNR) are
33.2 and 29.8 respectively by adding a ratio of 0.1 salt-and-pepper noise to the Lena image. With the new methods, the results are 41.4 and 41.4. The newly developed methods also generate better results in reducing high volume of noise. For instance, if a ratio of 0.5 salt-and-pepper noise is applied to a Lena image, PSNR results are 15.22 and 22.78 in SMF and AMF, and 25.8 and 28.9 with newly developed methods.

Cite As

ugur erkan (2021). EMF1(elastic median filter 1) and EMF2(elastic median filter 2); Salt and Pepper noise removal) (https://www.mathworks.com/matlabcentral/fileexchange/60225-emf1-elastic-median-filter-1-and-emf2-elastic-median-filter-2-salt-and-pepper-noise-removal), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (5)

bülent turan

Yusuf Selimdaroglu

Selim Selimdaroglu

Yusuf Selimdaroglu

this method is succesfull more than other medhods

Yusuf Selimdaroglu

Wonderful

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
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