Distortion Correction for Imaging Using a Wavefront Sensing Based Multiple-Input Deep Neural Network
Research output: Contribution to conferences › Paper › Contributed › peer-review
Contributors
Abstract
An actuator-free aberration correction using a multiple-input deep convolutional neural network is presented. It uses an additional wavefront sensor input to correct time-varying low-order aberrations. These advantages were transferred to aberration-corrected imaging velocimetry.
Details
| Original language | English |
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| Publication status | Published - 2023 |
| Peer-reviewed | Yes |
Conference
| Title | 2023 Computational Optical Sensing and Imaging |
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| Abbreviated title | COSI 2023 |
| Description | Part of Optica Imaging Congress 2023 |
| Duration | 14 - 17 August 2023 |
| Website | |
| Location | Boston Park Plaza Hotel |
| City | Boston |
| Country | United States of America |