A Survey on Image Denoising based on Wavelet Transform

Authors

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

Keywords:

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

Abstract

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-06-30

Issue

Volume 3, Issue 5, May-June-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Jyotsna Sardar, Pradeep Rusiya, " A Survey on Image Denoising based on Wavelet Transform, IInternational 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.