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A new method for image denoising is proposed in this paper. Firstly, apply the Lifting Stationary Wavelet transform on the denoised image. Secondly, Gaussian scale mixtures (GSM) is combined with the marginal distributions of neighbor coefficients in the nonsub-sampled contourlet domain are modeled. The Bayes least square estimation is adopted to evaluate high pass coefficient to remove additive white Gaussian noise. Finally, inverse Lifting Stationary Wavelet transform is applied on the denoised coefficients to reconstruction the denoised image.

Image Denoising Using Gaussian Scale Mixtures in Lifting Stationary Wavelet Coefficient