A Review on Noise Removal Using Modified Global-Local Filters

Authors(2) :-Akanksha C. Thawale, Ruhina Quazi

This review summarizes the current research works made in the field of removing salt and pepper noise or impulse noise using filters. In this work, we can reduce Salt and Pepper noise using median filter and Improved Progressive Switching Median Filter (IPSMF). It also highlights the comparable results between mean and median filter. It gives a review on current research works, considerable prospects for the future, and discusses the issues most important for further enhancement in the filters for removing noise and applications. This paper is a survey of various novel algorithms to get better Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE) and Structural similarity (SSIM). This survey mainly focuses on removing noise using filters. Keywords: Impulse noise, Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), mean filter, median

Authors and Affiliations

Akanksha C. Thawale
Student, M-Tech Electronics and Communication, RTMNU, ACET, Nagpur, Maharashtra, India
Ruhina Quazi
Assistant Professor, Electronics and Communication, RTMNU, ACET, Nagpur, Maharashtra, India

Impulse noise, Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), mean filter, median filter, Improved progressive switching median filter (IPSMF).

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Publication Details

Published in : Volume 4 | Issue 3 | January-February 2018
Date of Publication : 2018-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 110-116
Manuscript Number : NCAEAS4323
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Akanksha C. Thawale, Ruhina Quazi, " A Review on Noise Removal Using Modified Global-Local Filters", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 3, pp.110-116, January-February-2018.
Journal URL : http://ijsrst.com/NCAEAS4323

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