no code implementations • 23 Apr 2024 • Yong En Kok, Alexander Bentley, Andrew Parkes, Amanda J. Wright, Michael G. Somekh, Michael Pound
This study demonstrates the application of convolutional neural networks to characterise the optical aberration by directly predicting the Zernike coefficients from two to three phase-diverse optical images.
no code implementations • 17 Dec 2020 • Qiuliang Ye, Yuk-Hee Chan, Michael G. Somekh, Daniel P. K. Lun
Phase retrieval with pre-defined optical masks can provide extra constraint and thus achieve improved performance.