KAUST DepartmentComputational Imaging Group
Computer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Visual Computing Center (VCC)
Online Publication Date2020-02-11
Print Publication Date2020-02-17
Permanent link to this recordhttp://hdl.handle.net/10754/661616
MetadataShow full item record
AbstractWe 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.
CitationWang, C., Fu, Q., Dun, X., & Heidrich, W. (2020). Modeling classical wavefront sensors. Optics Express, 28(4), 5273. doi:10.1364/oe.381349
SponsorsKing 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.
PublisherThe Optical Society