
2002年4月21日 · Finally, a volume hologram is the most appropriate implementation of analog front ends of hybrid imaging systems with digital post-processing6. These systems can realize the full …
George Barbastathis - Google Scholar
Professor of Mechanical Engineering, Massachusetts Institute of Technology - Cited by 16,198 - Optics - computational imaging - machine learning - inverse problems
Prof. George Barbastathis Profile - SPIE Digital Library
2023年8月11日 · Search the SPIE Digital Library, the world's largest collection of optics and photonics peer-reviewed applied research. Subscriptions and Open Access content available.
Information content of volume holographic imaging
2001年10月1日 · We use IMI to characterize volume holographic imaging, a new optical imaging method with depth discrimination capability.
Information content of volume holographic imaging.
The Denisyuk volume reflection hologram is produced with spatially incoherent light to form an image-plane hologram that combines the properties of volume holography and confocal image formation.
George Barbastathis's research works | Massachusetts Institute of ...
George Barbastathis's 521 research works with 9,837 citations and 14,565 reads, including: Predicting glaucoma progression using deep learning framework guided by generative algorithm
2026 George Barbastathis: Mechanical and Aerospace …
6 天之前 · George Barbastathis has received recognition including the OSA Fellows award in 2011 for contributions to three-dimensional optical systems, volume holographic microscopy, origami-based …
Volume holographic telescope - Optica Publishing Group
We have developed a novel imaging instrument, the volume holographic telescope, which is capable of returning high-resolution depth information about remote objects.
Confocal microscopy with a volume holographic filter
1999年6月15日 · A confocal scanning microscopy in which a matched volume holographic filter replaces the pinhole is described. Hologram recording is such that the field generated by an in-focus object is …
George Barbastathis - dblp
Mo Deng, Shuai Li, Iksung Kang, Nicholas X. Fang, George Barbastathis: On the interplay between physical and content priors in deep learning for computational imaging.
- 为回应符合本地法律要求的通知,部分搜索结果未予显示。有关详细信息,请参阅此处。