Comparison of BayesShrink and SureShrink for image denoising using DWT
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Abstract
Removing noise from image is still a challenging problem for the researchers .An image is often corrupted by noise during various processes of transmission. Image denoising is used to remove the noise while preserving the important details. In this paper a frequency domain technique of discrete wavelet transform is discussed with various thresholding techniques and is compared by PSNR and MSE parameters.
Keywords: Discrete wavelet Transform, Gaussian noise, Salt & pepper noise, Speckle noise, Haar, Daubechies, VisuShrink, BayesShrink, SureShrink.
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