Research on Medical Image Enhancement Algorithm Based on GSM Model for Wavelet Coefficients
For the complexity and application diversity of medical CT image,this article presents a medical CT Image enhancing algorithm based on Gaussian Scale Mixture Model for wavelet coefficient in the study of wavelet multi-scale analysis.The noisy image is firstly denoised in auto-adapted Wiener filter.Secondly,through the qualitative analysis and classification of wavelet coefficients for the signal and noise,the wavelets approximate distribution and statistical characteristics are described,combining GSM(Gaussian scale mixture) model for wavelet coefficient in this paper.It is shown that this algorithm can improve the denoised result and enhanced the medical CT image obviously.
Medical CT Image Wavelet Coefficients GSM Model Wiener Filter Enhancement
Lei WANG Nian-de Jiang Xing Ning
Key Laboratory of Radioactive Geology and Exploration Technology Fundamental Science for National De School of Information and Electron Engineering East China Institute of Technology Fuzhou JX,P.R.Chin
国际会议
秦皇岛
英文
68-71
2010-11-05（万方平台首次上网日期，不代表论文的发表时间）