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Iterative algorithm for reconstructing rotationally asymmetric surface deviation with pixel-level spatial resolution
Quan, Haiyang1,2; Wu, Fan1; Hou, Xi1; Quan, Haiyang (alsea111.1989@163.com)
Volume9677
Pages96771M
2015
Language英语
ISSN0277-786X
DOI10.1117/12.2199700
Indexed BySCI ; Ei
Subtype会议论文
AbstractNew method for reconstructing rotationally asymmetric surface deviation with pixel-level spatial resolution is proposed. It is based on basic iterative scheme and accelerates the Gauss-Seidel method by introducing an acceleration parameter. This modified Successive Over-relaxation (SOR) is effective for solving the rotationally asymmetric components with pixel-level spatial resolution, without the usage of a fitting procedure. Compared to the Jacobi and Gauss-Seidel method, the modified SOR method with an optimal relaxation factor converges much faster and saves more computational costs and memory space without reducing accuracy. It has been proved by real experimental results. © 2015 SPIE.; New method for reconstructing rotationally asymmetric surface deviation with pixel-level spatial resolution is proposed. It is based on basic iterative scheme and accelerates the Gauss-Seidel method by introducing an acceleration parameter. This modified Successive Over-relaxation (SOR) is effective for solving the rotationally asymmetric components with pixel-level spatial resolution, without the usage of a fitting procedure. Compared to the Jacobi and Gauss-Seidel method, the modified SOR method with an optimal relaxation factor converges much faster and saves more computational costs and memory space without reducing accuracy. It has been proved by real experimental results. © 2015 SPIE.
Conference NameProceedings of SPIE - The International Society for Optical Engineering
Conference Date2015
Citation statistics
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7628
Collection先光中心
Corresponding AuthorQuan, Haiyang (alsea111.1989@163.com)
Affiliation1. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China
2. University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Quan, Haiyang,Wu, Fan,Hou, Xi,et al. Iterative algorithm for reconstructing rotationally asymmetric surface deviation with pixel-level spatial resolution[C],2015:96771M.
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