波前
反褶积
计算机科学
人工智能
光学
计算机视觉
波前传感器
盲反褶积
灵敏度(控制系统)
自适应光学
极限(数学)
遥感
物理
地质学
数学
数学分析
工程类
电子工程
作者
Bas de Bruijne,Gleb Vdovin,Oleg Soloviev
摘要
We have applied a combination of blind deconvolution and deep learning to the processing of Shack-Hartmann images. By using the intensity information contained in spot positions, and the fine structure of the separate images created by the lenslets, we have increased the sensitivity and resolution of the sensor over the limit defined by standard processing of spot displacements only. We also have demonstrated the applicability of the method to wavefront sensing using extended objects as a reference.
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