Surface measurement using compressed wavefront sensing

Eddy Mun Tik Chow, Ningqun Guo, Edwin Chong, Xin Wang

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)115-125
Number of pages11
JournalPhotonic Sensors
Issue number2
Publication statusPublished - 1 Jun 2019


  • compressed sensing
  • Shack-Hartmann wavefront sensor
  • surface measurement

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