Distortion Correction for Imaging Using a Wavefront Sensing Based Multiple-Input Deep Neural Network
Publikation: Beitrag zu Konferenzen › Paper › Beigetragen › Begutachtung
Beitragende
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
| Originalsprache | Englisch |
|---|---|
| Publikationsstatus | Veröffentlicht - 2023 |
| Peer-Review-Status | Ja |
Konferenz
| Titel | 2023 Computational Optical Sensing and Imaging |
|---|---|
| Kurztitel | COSI 2023 |
| Beschreibung | Part of Optica Imaging Congress 2023 |
| Dauer | 14 - 17 August 2023 |
| Webseite | |
| Ort | Boston Park Plaza Hotel |
| Stadt | Boston |
| Land | USA/Vereinigte Staaten |