Presentation
14 May 2018 Computational imaging in complex media (Conference Presentation)
Author Affiliations +
Abstract
Computational imaging is a new frontier of imaging technology that overcomes fundamental limitations of conventional systems by jointly designing optics, devices, signal processing, and algorithms. In this talk, I will first present recent advancements in high-throughput computational microscopy based on coded illumination and nonlinear phase retrieval, which enables wide field-of-view and high-resolution Gigapixel and 3D phase microscopy capability. Next, I will present a new neural network inspired framework for solving inverse scattering problems using recursive models to enable recovery of multiple scattering information in large-scale complex media. Such computational imaging approach creates significant new capabilities by integrating hardware and computation at the system level. It promises wide applications, such as biomedicine, metrology, and remote sensing.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Tian "Computational imaging in complex media (Conference Presentation)", Proc. SPIE 10656, Image Sensing Technologies: Materials, Devices, Systems, and Applications V, 106560R (14 May 2018); https://doi.org/10.1117/12.2302593
Advertisement
Advertisement
KEYWORDS
Computational imaging

Computing systems

Imaging systems

Microscopy

Optical design

Imaging technologies

Inverse scattering problem

RELATED CONTENT

Computational imaging
Proceedings of SPIE (December 31 2009)
Scaling analysis of computational imaging systems
Proceedings of SPIE (March 25 2008)
Extended depth of field imaging at 94 GHz
Proceedings of SPIE (April 25 2008)
Toward a mathematical framework for computational imaging
Proceedings of SPIE (November 22 2011)
Computational imaging design tools and methods
Proceedings of SPIE (October 22 2004)

Back to Top