A Survey on Image Denoising based on Wavelet Transform

Authors(2) :-Jyotsna Sardar, Pradeep Rusiya

The processing of images results in a huge amount of noise in the processed image inevitably.Hence, it is required to apply image denoising techniques to improve quality of the image.So far many algorithms have been proposed under different conditions to achieve better performance.These algorithms consist of some filtering and threshold parameters. Because of higher performance rate of Wavelet Transform method,it has been used widely. In this paper, we are going to go through image denoising techniques and focus mainly on the wavelet transform method used for denoising image.

Authors and Affiliations

Jyotsna Sardar
Department of CSE, OP Jindal University, Raigarh, Chhattisgarh, India
Pradeep Rusiya
Department of CSE, OP Jindal University, Raigarh, Chhattisgarh, India

Genetic Algorithm, Image Denoising, Threshold, Wavelet Transform, Gaussian Noise

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1089-1092
Manuscript Number : CSEIT1835241
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Jyotsna Sardar, Pradeep Rusiya, "A Survey on Image Denoising based on Wavelet Transform", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.1089-1092, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1835241

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