Measuring a detection sensitivity metric for non-shift invariant computational imaging systems (Conference Presentation)

2018 ◽  
Author(s):  
Bradley L. Preece ◽  
David P. Haefner ◽  
George Nehmetallah
Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4092
Author(s):  
Gintaras Valušis ◽  
Alvydas Lisauskas ◽  
Hui Yuan ◽  
Wojciech Knap ◽  
Hartmut G. Roskos

In this roadmap article, we have focused on the most recent advances in terahertz (THz) imaging with particular attention paid to the optimization and miniaturization of the THz imaging systems. Such systems entail enhanced functionality, reduced power consumption, and increased convenience, thus being geared toward the implementation of THz imaging systems in real operational conditions. The article will touch upon the advanced solid-state-based THz imaging systems, including room temperature THz sensors and arrays, as well as their on-chip integration with diffractive THz optical components. We will cover the current-state of compact room temperature THz emission sources, both optolectronic and electrically driven; particular emphasis is attributed to the beam-forming role in THz imaging, THz holography and spatial filtering, THz nano-imaging, and computational imaging. A number of advanced THz techniques, such as light-field THz imaging, homodyne spectroscopy, and phase sensitive spectrometry, THz modulated continuous wave imaging, room temperature THz frequency combs, and passive THz imaging, as well as the use of artificial intelligence in THz data processing and optics development, will be reviewed. This roadmap presents a structured snapshot of current advances in THz imaging as of 2021 and provides an opinion on contemporary scientific and technological challenges in this field, as well as extrapolations of possible further evolution in THz imaging.


2003 ◽  
Vol 11 (18) ◽  
pp. 2102 ◽  
Author(s):  
Kenneth Kubala ◽  
Edward Dowski ◽  
W. Cathey

2010 ◽  
Author(s):  
Guotong Feng ◽  
Mohammed Shoaib ◽  
Edward L. Schwartz ◽  
M. Dirk Robinson

2005 ◽  
Author(s):  
G. E. Johnson ◽  
P. E. X. Silveira ◽  
E. Dowski

2010 ◽  
Author(s):  
Chir-Weei Chang ◽  
Yung-Lin Chen ◽  
Chuan-Chung Chang ◽  
Po-Chang Chen

Author(s):  
David G. Stork

We highlight the need for – and describe initial strategies to find – new digital-optical basis functions and performance merit functions to serve as a foundation for designing, analyzing, characterizing, testing, and comparing a range of computational imaging systems. Such functions will provide a firm theoretical foundation for computational sensing and imaging and enhanced design software, thereby broadly speeding the development of computational imaging systems.


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