Lanczos Algorithm Based L-Curve and Curvature in Image Resolution Enhancement

摘要：

In this paper, we propose the application of the Lcurve and curvature to the super resolution image restoration problem. L-curve criterion is used to estimate regularization parameters. However, the computational of the L-curve is quiet costly for large size problems. The Lanczos algorithm and Gauss quadrature are used to reduce the computational cost. But the many iterations of Lancros algorithm results in the expensive cost of L-curve. The paper develops an approximate technique that can be used to get the proper the iterative times of Lancros algorithm with L-curvature. The technique shows that L-curve and curvature can be computed fairly inexpensively by partial Lanczos algorithm. Then a suitable value of the regularization parameter is determined from Lcurve.

关键词： Lancros regularization parameter L-curve curvature.

作者: Kai Xie Likun Lu

作者单位: College of information & mechanical engineering,Beijing Institute of Graphic Communication Beijing,102600,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3601-3605

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）