Type
ArticleKAUST Department
Computational Imaging GroupComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering
Electrical Engineering Program
Visual Computing Center (VCC)
Date
2020-02-11Online Publication Date
2020-02-11Print Publication Date
2020-02-17Submitted Date
2019-11-15Permanent link to this record
http://hdl.handle.net/10754/661616
Metadata
Show full item recordAbstract
We present an image formation model for deterministic phase retrieval in propagation-based wavefront sensing, unifying analysis for classical wavefront sensors such as Shack-Hartmann (slopes tracking) and curvature sensors (based on Transport-of-Intensity Equation). We show how this model generalizes commonly seen formulas, including Transport-of-Intensity Equation, from small distances and beyond. Using this model, we analyze theoretically achievable lateral wavefront resolution in propagation-based deterministic wavefront sensing. Finally, via a prototype masked wavefront sensor, we show simultaneous bright field and phase imaging numerically recovered in real-time from a single-shot measurement.Citation
Wang, C., Fu, Q., Dun, X., & Heidrich, W. (2020). Modeling classical wavefront sensors. Optics Express, 28(4), 5273. doi:10.1364/oe.381349Sponsors
King Abdullah University of Science and Technology (Center Partnership Funding, Individual Baseline Funding). Portions of this work were presented at the Computational Optical Sensing and Imaging (COSI) Meeting in 2019, paper number CM1A.4.Publisher
The Optical SocietyJournal
Optics ExpressAdditional Links
https://www.osapublishing.org/abstract.cfm?URI=oe-28-4-5273ae974a485f413a2113503eed53cd6c53
10.1364/OE.381349