De-Noising of Gaussian Noise using Discrete
Wavelet Transform

Ankur Soni; Vandana Roy

doi:https://doi.org/10.14445/22315381/IJETT-V8P257

Research Article | Open Access | Download PDF

Volume 8 | Number 2 | Year 2014 | Article Id. IJETT-V8P257 | DOI : https://doi.org/10.14445/22315381/IJETT-V8P257

De-Noising of Gaussian Noise using Discrete Wavelet Transform

Ankur Soni , Vandana Roy

Citation :

Ankur Soni , Vandana Roy, "De-Noising of Gaussian Noise using Discrete Wavelet Transform," International Journal of Engineering Trends and Technology (IJETT), vol. 8, no. 2, pp. 309-312, 2014. Crossref, https://doi.org/10.14445/22315381/IJETT-V8P257

Abstract

Image De-noising of noisy image is play an important role in the field of image processing. Different Image De-noising methods are used for different noisy images. In this paper we have shown the different results of image De-noising of noisy image using Discrete Wavelet Transform (DWT). De-noising of natural images used in this paper corrupted by Gaussian noise using wavelet techniques are very effective because of its ability to capture the energy of a signal in few energy transform values. The performance of image de-noising of noisy image is shown in terms of PSNR, MSE and visual perception. The performance of calculated result shows improved Mean Square Error and Peak Signal to Noise Ratio.

Keywords

De-noising, Discrete Wavelet Transform (DWT), Gaussian noise, Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR).

References

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