Hari Om, Mantosh Biswas, "An Adaptive Image Denoising Method based on Thresholding," WSEAS Transactions on Signal Processing, vol. 10, pp. 1-8, 2014, DOI:
Hari Om, Mantosh Biswas. An Adaptive Image Denoising Method based on Thresholding.
WSEAS Transactions on Signal Processing. 2014;10:1-8.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 10, 2014
An Adaptive Image Denoising Method based on Thresholding
Authors: ,
Abstract: 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.
Pages: 1-8 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 10, 2014, Art. #1 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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