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J. Gao, H. Sultan, J. Hu and W. W. Tung, “Denoising Nonlinear Time Series by Adaptive Filtering and Wavelet Shrinkage: A Comparison,” IEEE Signal Processing Letters, Vol. 17, No. 3, 2010, pp. 237-240. HUdoi:10.1109/LSP.2009.2037773U

has been cited by the following article:

• TITLE: A New Image Denoising Scheme Using Soft-Thresholding

  AUTHORS: Hari Om, Mantosh Biswas

  KEYWORDS: Wavelet Thresholding; Image Denoising; Peak Signal-to-Noise Ratio

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.3 No.3, August 31, 2012

  ABSTRACT: The VisuShrink is one of the important image denoising methods. It however does not provide good quality of image due to removing too many coefficients especially using soft-thresholding technique. This paper proposes a new image denoising scheme using wavelet transformation. In this paper, we modify the coefficients using soft-thresholding method to enhance the visual quality of noisy image. The experimental results show that our proposed scheme has better performance than the VisuShrink in terms of peak signal-to-noise ratio (PSNR) i.e., visual quality of the image.