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An Improved Image Denoising Method Based on Wavelet Thresholding
Department of Computer Science & Engineering, Indian School of Mines, Dhanbad, India.
Department of Computer Science & Engineering, Indian School of Mines, Dhanbad, India.
- 1 Department of Computer Science & Engineering, Indian School of Mines, Dhanbad, India.
- 2 Department of Computer Science & Engineering, Indian School of Mines, Dhanbad, India.
Journal of Signal and Information Processing·Volume 03 (2012)·Pages 109–116·Published 28 February 2012·DOI10.4236/jsip.2012.31014
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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.
KeywordsWavelet TransformsNeighboring CoefficientsWavelet ThresholdingImage DenosingNeighbouring CoefficientsPeak Signal-to-Noise Ratio
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