A Fast L-curvature Estimation for Super-resolution Image Restoration
L-curvature can be used to evaluate regularization parameters in super-resolution image restoration. Lcurvature is computed expensively through Arnoldi process. The paper proposes an efficient approximate method based on the incomplete orthogonalization Arnoldi Process. The method uses a few previous orthogonal vectors for Arnoldi process. The others are not needed in the process and may be discarded. Hessenberg matrix obtained from the incomplete orthogonalization process has a band structure different from the previous similar upper triangular matrix. The computational complexity of the L-curvature may be dropped. Experimental results with synthetic and real image sequences are presented that demonstrate the effectiveness and robustness of the method.
incomplete orthogonalization L-curvature Arnoldi Process
Kai Xie
College of information & mechanical engineering, Beijing Institute of Graphic Communication Beijing, 102600, China
国际会议
长沙
英文
92-95
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）