Add to BibSonomyAbstract
Deep learning has been extensively applied in many optical imaging scenarios. But we show linear-regression-based methods may have certain outperformance in two black-box optical imaging problems that were originally solved by deep learning.
© 2020 The Author(s)
PDF ArticleMore Like This
Deep Learning Based Compressive Imaging Method for High Precision Adaptive Null Interferometric Testing of Aspheric and Freeform Mirrors
Shruti Sharma and D. Vasishtha
JTu7A.3 Frontiers in Optics (FiO) 2020
Novel Method of Defocus Estimation Based on Combination of Deep Learning Features and Handcrafted Features for Removal of Image Artifacts in Wavefront Coding
Shruti Sharma and D. Vasishtha
FW1F.4 Frontiers in Optics (FiO) 2020
A Comparison of Linear Regression and Deep Learning Model for EVM Estimation in Coherent Optical Systems
Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs, Carlos Natalino, Lu Zhang, Sandis Spolitis, Vjaceslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergei Popov, and Oskars Ozolins
CMP9A_03 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2022