An Improved Iterative Approach Based on Symmetric Normal Inverse Gaussian Model For Image restoration

摘要：

An improved iterative approach for obtaining the real part from the higher frequency components,which is produced by the mean of nonlinear extrapolation in frequency space,is described.The restoring algorithm adopts the MAP estimator based on symmetric normal inverse Gaussian (SNIG) model to deblurring and denosing,meanwhile makes use of Newton iteration method to evaluate the regularization parameter.The result shows the validity of the proposed method to improve the resolution of degraded images.

关键词： nonlinear extrapolation symmetric normal inverse Gaussian (SNIG) MAP estimator image restoration

作者: LI Yuan-jiang LI Yue-hua

作者单位: Institute of Millimeter Wave and Optical Near Sensing Technology,School of Electronic Engineering and Optoelectronic Technology,Nanjing University of Science and Technology Nan Jing,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 14-18

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）