Image Denoising Using Gaussian Scale Mixtures in Lifting Stationary Wavelet Coefficient

摘要：

　　A new method for image denoising is proposed in this paper.Firstly,apply the Lifting Stationary Wavelet transform on the denoised im age.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.

关键词： Lifting stationary wavelet transform GSM BLS

作者: Dongmei Zhang Minzhi Wang Jianhua Liu Zhong Xiao

作者单位: Science Department,Zhangjiakou Education College,Zhangjiakou 075000,China College of Mechanical Engineering,Donghua Unverisity,Shanghai 200000,China Shijiazhuang Tiedao University,Shijiazhuang,050043,China

会议类型: 国际会议

会议名称: the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

会议地点: 沈阳

会议语种:英文

页码: 1829-1832

在线出版日期: 2012-09-26（万方平台首次上网日期，不代表论文的发表时间）