Comparison and Analysis of Different Denoising Techniques in Image Processing

Authors(2) :-Y. S. Thakur, Ajay Maurya

Image restoration one part is the Denoising which plays important tasks in image processing. Despite the significant research conducted on this topic, the development of efficient denoising methods is still a compelling challenge. Image denoising is an essential requirement of image processing. The images contain strongly oriented harmonics and edge discontinuities. Wavelets, which are localized and multiscaled, do better denoising in single dimension using multiple local thresholding technique. Filter based denoising and reconstruction exhibit higher quality recovery of edges and curvilinear features. This thresholding scheme denoises images embedded in Speckle noise. The experiment shows denoising using Filters such as Wiener, Median, Wavelet Transform to outperforms in terms of MSE (mean square Error) but also in better visual appearance of the resulting images. In this thesis, we will study and investigate the application of using best filters to remove noise. In this, Gaussian, Poisson, Salt & pepper, Speckle is used for restoration.

Authors and Affiliations

Y. S. Thakur
Professor, Electronics & Communication, Engineering Department, Ujjain Engineering College, Ujjain, Madhya Pradesh, India
Ajay Maurya
Electronics & Communication, Engineering Department, Ujjain Engineering College, Ujjain, Madhya Pradesh, India

Gaussian, Poisson, Salt & Pepper, Speckle noise, Denoising, filters, MSE.

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Publication Details

Published in : Volume 3 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 665-670
Manuscript Number : IJSRSET1733155
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Y. S. Thakur, Ajay Maurya, " Comparison and Analysis of Different Denoising Techniques in Image Processing, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 3, pp.665-670, May-June-2017.
Journal URL : http://ijsrset.com/IJSRSET1733155

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