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An Improved Image Denoising Method Based on Wavelet Thresholding

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DOI: 10.4236/jsip.2012.31014    9,171 Downloads   17,637 Views   Citations

ABSTRACT

VisuShrink, ModineighShrink and NeighShrink are efficient image denoising algorithms based on the discrete wavelet transform (DWT). These methods have disadvantage of using a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands. In this paper, an improved method is proposed, that determines a threshold as well as neighbouring window size for every subband using its lengths. Our experimental results illustrate that the proposed approach is better than the existing ones, i.e., NeighShrink, ModineighShrink and VisuShrink in terms of peak signal-to-noise ratio (PSNR) i.e. visual quality of the image.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

H. Om and M. Biswas, "An Improved Image Denoising Method Based on Wavelet Thresholding," Journal of Signal and Information Processing, Vol. 3 No. 1, 2012, pp. 109-116. doi: 10.4236/jsip.2012.31014.

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