Modified Gaussian Noise De-Noising using Discrete Wavelet Transform

Research Area: Volume 2 Issue 6, Nov. 2013 Year: 2013
Type of Publication: Article Keywords: De-noising, Discrete Wavelet Transform DWT, Gaussian noise, Mean Square Error MSE and Peak Signal to Noise Ratio PSNR
Authors:
  • Ankur Soni
  • Vandana Roy
  • Shashank Chaturvedi
  • Komal Kanojia
Journal: IJEIR Volume: 2
Number: 6 Pages: 491-495
Month: November
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.

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