Photonic Sensors

, Volume 9, Issue 2, pp 115–125 | Cite as

Surface Measurement Using Compressed Wavefront Sensing

  • Eddy Mun Tik Chow
  • Ningqun Guo
  • Edwin Chong
  • Xin WangEmail author
Open Access


Compressed sensing leverages the sparsity of signals to reduce the amount of measurements required for its reconstruction. The Shack-Hartmann wavefront sensor meanwhile is a flexible sensor where its sensitivity and dynamic range can be adjusted based on applications. An investigation is done by using compressed sensing in surface measurements with the Shack-Hartmann wavefront sensor. The results show that compressed sensing paired with the Shack-Hartmann wavefront sensor can reliably measure surfaces accurately. The performance of compressed sensing is compared with those of the iterative modal-based wavefront reconstruction and Fourier demodulation of Shack-Hartmann spot images. Compressed sensing performs comparably to the modal based iterative wavefront reconstruction in both simulation and experiment while performing better than the Fourier demodulation in simulation.


Shack-Hartmann wavefront sensor surface measurement compressed sensing 



The authors gratefully acknowledge the support of funding from Ministry of Higher Education, Malaysia under the Grant No. FRGS/1/2016/STG02/MUSM/02/1.


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© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Eddy Mun Tik Chow
    • 1
  • Ningqun Guo
    • 1
  • Edwin Chong
    • 2
  • Xin Wang
    • 1
    Email author
  1. 1.School of EngineeringMonash University Malaysia, Jalan Lagoon SelatanBandar SunwayMalaysia
  2. 2.Department of Electrical and Computer EngineeringColorado State UniversityFort CollinsUSA

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