INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Salt and pepper noise reduction in image de-noise using MMF technique
Authors Name:
Abhishek Garg
, Binaya Basant Sahoo
Unique Id:
IJSDR2006045
Published In:
Volume 5 Issue 6, June-2020
Abstract:
Noise free images are projected for good understanding of the data present in it. But due to many factors noise gets added and corrupts the image quality. Images are mainly affected by noise when they are transmitted over the unsecure channels. Mostly the images are infected by impulse noise due to faulty communications. Various filters are applied to make the images noise free in order to achieve the images with no or minimum signal distortion. Median filters are best suited digital on linear filters to remove the impulse noise from the images while preserved the edges of the images. In contrast to the unadventurous median filters, a decision based median filter is applied to detect the noisy pixels so that filter is applied only to the corrupted pixels thereby preserved the image features and leaving the uncorrupted pixels unscratched. In this paper we have presented a novel unsymmetrical trimmed median filter for removing the noise and to restore the Gray scaled and coloured images highly infected by impulse noise. A decision based filter first figures out the noisy pixels and then changes them by median value if other than 0 and 255values are present in the particular window and change the noisy pixels by the mean value of all the elements in the selected window if only 0’s and 255’s are present. The proposed algorithm is tested against different gray scaled and coloured images.
Keywords:
Impulse noise, Median filter, trimmed median filter, Pixel expansion, window size, PSNR, salt and pepper noise.
Cite Article:
"Salt and pepper noise reduction in image de-noise using MMF technique", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 6, page no.275 - 281, June-2020, Available :http://www.ijsdr.org/papers/IJSDR2006045.pdf
Downloads:
000337074
Publication Details:
Published Paper ID: IJSDR2006045
Registration ID:191752
Published In: Volume 5 Issue 6, June-2020
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.24444
Page No: 275 - 281
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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