An Adaptive Image Denoising Method based on Thresholding
نویسنده
چکیده
This paper proposes an Adaptive Image Denoising Method based on Thresholding that follows the similar approach as in the NeighShrink method. This method shrinks the noisy wavelet coefficients using an adaptive threshold. The NeighShrink and its versions namely, IAWDMBNC and IIDMWT always produce unfavourable smoothing of edges and details of the noisy image because these methods kill more noisy coefficients during the shrinkage. Our proposed method overcomes these drawbacks and performs better than the NeighShrink, IAWDMBNC, and IIDMWT in terms of Peak Signal-to-Noise Ratio (PSNR) using shrinkage based on our proposed threshold. Key-Words Image Denoising, Thresholding method, Coefficient, Peak Signal-to-Noise Ratio (PSNR).
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