Modified Gaussian Noise De-Noising using Discrete Wavelet Transform
| Research Area: | Volume 2 Issue 6, Nov. 2013 | Year: | 2013 |
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| Type of Publication: | Article | Keywords: | De-noising, Discrete Wavelet Transform DWT, Gaussian noise, Mean Square Error MSE and Peak Signal to Noise Ratio PSNR |
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| 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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