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Recent advances in lensless imaging
Lensless imaging provides opportunities to design imaging systems free from the constraints
imposed by traditional camera architectures. Due to advances in imaging hardware …
imposed by traditional camera architectures. Due to advances in imaging hardware …
A review of sparse recovery algorithms
EC Marques, N Maciel, L Naviner, H Cai, J Yang - IEEE access, 2018 - ieeexplore.ieee.org
Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …
high-power processing, large memory density, and increased energy consumption. In …
Single-shot lensless imaging with fresnel zone aperture and incoherent illumination
Lensless imaging eliminates the need for geometric isomorphism between a scene and an
image while allowing the construction of compact, lightweight imaging systems. However, a …
image while allowing the construction of compact, lightweight imaging systems. However, a …
Quantum-inspired computational imaging
BACKGROUND Imaging technologies, which extend human vision capabilities, are such a
natural part of our current everyday experience that we often take them for granted …
natural part of our current everyday experience that we often take them for granted …
[HTML][HTML] Intelligent meta-imagers: From compressed to learned sensing
C Saigre-Tardif, R Faqiri, H Zhao, L Li… - Applied Physics …, 2022 - pubs.aip.org
Computational meta-imagers synergize metamaterial hardware with advanced signal
processing approaches such as compressed sensing. Recent advances in artificial …
processing approaches such as compressed sensing. Recent advances in artificial …
Learned integrated sensing pipeline: reconfigurable metasurface transceivers as trainable physical layer in an artificial neural network
The rapid proliferation of intelligent systems (eg, fully autonomous vehicles) in today's
society relies on sensors with low latency and computational effort. Yet current sensing …
society relies on sensors with low latency and computational effort. Yet current sensing …
Flatnet: Towards photorealistic scene reconstruction from lensless measurements
Lensless imaging has emerged as a potential solution towards realizing ultra-miniature
cameras by eschewing the bulky lens in a traditional camera. Without a focusing lens, the …
cameras by eschewing the bulky lens in a traditional camera. Without a focusing lens, the …
Metalens-integrated compact imaging devices for wide-field microscopy
B Xu, H Li, S Gao, X Hua, C Yang, C Chen… - Advanced …, 2020 - spiedigitallibrary.org
Metasurfaces have demonstrated unprecedented capabilities in manipulating light with
ultrathin and flat architectures. Although great progress has been made in the metasurface …
ultrathin and flat architectures. Although great progress has been made in the metasurface …
DeepGhost: real-time computational ghost imaging via deep learning
S Rizvi, J Cao, K Zhang, Q Hao - Scientific reports, 2020 - nature.com
The potential of random pattern based computational ghost imaging (CGI) for real-time
applications has been offset by its long image reconstruction time and inefficient …
applications has been offset by its long image reconstruction time and inefficient …
Review of structured light in diffuse optical imaging
Diffuse optical imaging probes deep living tissue enabling structural, functional, metabolic,
and molecular imaging. Recently, due to the availability of spatial light modulators, wide …
and molecular imaging. Recently, due to the availability of spatial light modulators, wide …