De-Noising of Gaussian Noise using Discrete Wavelet Transform
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2014 by IJETT Journal|
|Year of Publication : 2014|
|Authors : Ankur Soni , Vandana Roy
Ankur Soni , Vandana Roy."De-Noising of Gaussian Noise using Discrete Wavelet Transform", International Journal of Engineering Trends and Technology(IJETT), V8(6),309-312 February 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
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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De-noising, Discrete Wavelet Transform (DWT), Gaussian noise, Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR).