Adaptive Dual Conjudate Gradient Projection Algorithm for Compressed Sensing Image Reconstruction

摘要：

　　In order to improve the quality of noise signals reconstruction method,an algorithm of adaptive dual gradient projection for sparse reconstruction of compressed sensing theory is proposed.In ADGPSR algorithm,the pursuit direction is updated in two conjudate directions,the better original signals estimated value is computed by conjudate coefficient.Thus the reconstruction quality is improved.Experiment results show that,compared with the GPSR algorithm,the ADGPSR algorithm improves the signals reconstruction accuracy,improves PSNR of reconstruction signals,and exhibits higher robustness under different noise intensities.

关键词： signal processing gradient projection compressed sensing image reconstruction

作者: Yah Haixia Liu Yanjun

作者单位: Electronic Department ,JiLin University Changchun 130012,China Changchun Institute of Optics, Fine Mechanics and Physics the Chinese Academy of Sciences Changchun

会议类型: 国际会议

会议名称: 2013 2nd International Symposium on Computer,Communication,Control and Automation(ISCCCA-13)(2013年第二届计算机、通信与自动化国际会议)

会议地点: 太原

会议语种:英文

页码: 188-191

在线出版日期: 2013-04-06（万方平台首次上网日期，不代表论文的发表时间）