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Proceedings Paper

Iterative algorithm for reconstructing rotationally asymmetric surface deviation with pixel-level spatial resolution
Author(s): Haiyang Quan; Fan Wu; Xi Hou
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Paper 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.

Paper Details

Date Published: 8 October 2015
PDF: 5 pages
Proc. SPIE 9677, AOPC 2015: Optical Test, Measurement, and Equipment, 96771M (8 October 2015); doi: 10.1117/12.2199700
Show Author Affiliations
Haiyang Quan, Institute of Optics and Electronics (China)
Univ. of Chinese Academy of Sciences (China)
Fan Wu, Institute of Optics and Electronics (China)
Xi Hou, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 9677:
AOPC 2015: Optical Test, Measurement, and Equipment
Sen Han; Jonathan D. Ellis; Junpeng Guo; Yongcai Guo, Editor(s)

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