A New Optical Surface Measurement Method with Iterative Sparsity-Constrained Threshold Phase Retrieval AlgorithmReportar como inadecuado




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The Scientific World Journal - Volume 2014 2014, Article ID 548395, 7 pages -

Research Article

School of Electronic Engineering, Xidian University, Xi’an 710071, China

Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada L8S 4L8

School of Science, Air Force Engineering University, Xi’an 710051, China

Received 22 November 2013; Accepted 17 January 2014; Published 9 April 2014

Academic Editors: V. M. N. Passaro and T. Shimobaba

Copyright © 2014 Yi Niu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Due to its low complexity and acceptable accuracy, phase retrieval technique has been proposed as an alternative to solve the classic optical surface measurement task. However, to capture the overall wave field, phase retrieval based optical surface measurement PROSM system has to moderate the CCD position during the multiple-sampling procedure. The mechanical modules of CCD movement may bring about unexpectable deviation to the final results. To overcome this drawback, we propose a new PROSM method based on spatial light modulator SLM. The mechanical CCD movement can be replaced by an electrical moderation of SLM patterns; thus the deviation can be significantly suppressed in the new PROSM method. In addition, to further improve the performance, we propose a new iterative threshold phase retrieval algorithm with sparsity-constraint to effectively reconstruct the phase of wave field. Experimental results show that the new method provides a more simple and robust solution for the optical surface measurement than the traditional techniques and achieves higher accuracy.





Autor: Yi Niu, Yang Liu, Guangming Shi, Dahua Gao, and Guo Li

Fuente: https://www.hindawi.com/



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