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An Improved Image Denoising Method Based on Wavelet Thresholding

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Author(s): Hari Om | Mantosh Biswas

Journal: Journal of Signal and Information Processing
ISSN 2159-4465

Volume: 03;
Issue: 01;
Start page: 109;
Date: 2012;
Original page

Keywords: Wavelet Transforms | Neighboring Coefficients | Wavelet Thresholding | Image Denosing | Neighbouring Coefficients | Peak Signal-to-Noise Ratio

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.
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