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) | |
Volume | 9677 |
Pages | 96771M |
2015 | |
Language | 英语 |
ISSN | 0277-786X |
DOI | 10.1117/12.2199700 |
Indexed By | SCI ; Ei |
Subtype | 会议论文 |
Abstract | 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.; 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 Name | Proceedings of SPIE - The International Society for Optical Engineering |
Conference Date | 2015 |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://ir.ioe.ac.cn/handle/181551/7628 |
Collection | 先光中心 |
Corresponding Author | Quan, Haiyang (alsea111.1989@163.com) |
Affiliation | 1. 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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2015-2174.pdf(484KB) | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text |
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