Learned reconstructions for practical mask-based lensless imaging

K Monakhova, J Yurtsever, G Kuo, N Antipa… - Optics express, 2019 - opg.optica.org
Mask-based lensless imagers are smaller and lighter than traditional lensed cameras. In
these imagers, the sensor does not directly record an image of the scene; rather, a …

Fourier DiffuserScope: single-shot 3D Fourier light field microscopy with a diffuser

F Linda Liu, G Kuo, N Antipa, K Yanny, L Waller - Optics Express, 2020 - opg.optica.org
Light field microscopy (LFM) uses a microlens array (MLA) near the sensor plane of a
microscope to achieve single-shot 3D imaging of a sample without any moving parts …

Video from stills: Lensless imaging with rolling shutter

N Antipa, P Oare, E Bostan, R Ng… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Because image sensor chips have a finite bandwidth with which to read out pixels, recording
video typically requires a trade-off between frame rate and pixel count. Compressed sensing …

Robust lensless image reconstruction via psf estimation

JD Rego, K Kulkarni… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Lensless imaging is a new, emerging modality where image sensors utilize optical elements
in front of the sensor to perform multiplexed imaging. There have been several recent …

Improving flat fluorescence microscopy in scattering tissue through deep learning strategies

M Feshki, S Martel, Y De Koninck, B Gosselin - Optics Express, 2023 - opg.optica.org
Intravital microscopy in small animals growingly contributes to the visualization of short-and
long-term mammalian biological processes. Miniaturized fluorescence microscopy has …

Lensless cameras using a mask based on almost perfect sequence through deep learning

H Zhou, H Feng, Z Hu, Z Xu, Q Li, Y Chen - Optics Express, 2020 - opg.optica.org
Mask-based lensless imaging cameras have many applications due to their smaller volumes
and lower costs. However, due to the ill-nature of the inverse problem, the reconstructed …

Deep denoiser prior based deep analytic network for lensless image restoration

H Zhou, H Feng, W Xu, Z Xu, Q Li, Y Chen - Optics Express, 2021 - opg.optica.org
Mask based lensless imagers have huge application prospects due to their ultra-thin body.
However, the visual perception of the restored images is poor due to the ill conditioned …

Comparative study on resolution enhancements in fluorescence-structured illumination Fresnel incoherent correlation holography

P Jeon, J Kim, H Lee, HS Kwon, DY Kim - Optics Express, 2021 - opg.optica.org
Fresnel incoherent correlation holography (FINCH) is a new approach for incoherent
holography, which also has enhancement in the transverse resolution. Structured …

Lensless light-field imaging using LMI

C Mo, X Liu, J Tong, J Xi, Y Yu, Z Cai - Optics Express, 2024 - opg.optica.org
Light-field imaging is widely used in many fields, such as computer vision, graphics, and
microscopy imaging, to record high-dimensional light information for abundant visual …

Lensless image reconstruction with an untrained neural network

A Banerjee, H Kumar, S Saurav, S Singh - International Conference on …, 2022 - Springer
Lensless image reconstruction is an ill-posed inverse problem in computational imaging,
having several applications in machine vision. Existing approaches rely on large datasets …