G
George Barbastathis
Researcher at Massachusetts Institute of Technology
Publications - 490
Citations - 10787
George Barbastathis is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Holography & Phase retrieval. The author has an hindex of 49, co-authored 469 publications receiving 9134 citations. Previous affiliations of George Barbastathis include Southwest University & Shanghai Jiao Tong University.
Papers
More filters
Journal ArticleDOI
Lensless computational imaging through deep learning
TL;DR: In this paper, the authors demonstrate that deep neural networks (DNNs) can be trained to solve end-to-end inverse problems in computational imaging, where a DNN was trained to recover phase objects given their propagated intensity diffraction patterns.
Journal ArticleDOI
On the use of deep learning for computational imaging
TL;DR: This paper relates the deep-learning-inspired solutions to the original computational imaging formulation and use the relationship to derive design insights, principles, and caveats of more general applicability, and explores how the machine learning process is aided by the physics of imaging when ill posedness and uncertainties become particularly severe.
Journal ArticleDOI
Nanotextured Silica Surfaces with Robust Superhydrophobicity and Omnidirectional Broadband Supertransmissivity
Kyoo-Chul Park,Hyungryul J. Choi,Chih-Hao Chang,Chih-Hao Chang,Robert E. Cohen,Gareth H. McKinley,George Barbastathis,George Barbastathis +7 more
TL;DR: A systematic approach to concurrent design of optimal structures in the fluidic and optical domains and a fabrication procedure that achieves the desired aspect ratios and periodicities with few defects and large pattern area are reported.
Journal ArticleDOI
Macroscopic invisibility cloak for visible light
TL;DR: This work experimentally solves the problem of cloaking of a macroscopic object in the broad range of wavelengths visible to the human eye by incorporating the principle of transformation optics into a conventional optical lens fabrication with low-cost materials and simple manufacturing techniques.
Journal ArticleDOI
Transport of Intensity phase-amplitude imaging with higher order intensity derivatives
TL;DR: A method for improving the accuracy of phase retrieval based on the Transport of Intensity equation is demonstrated by using intensity measurements at multiple planes to estimate and remove the artifacts due to higher order axial derivatives.