Results 101 to 110 of about 1,860,088 (200)

Privacy-Enhancing Optical Embeddings for Lensless Classification [PDF]

Lensless imaging can provide visual privacy due to the highly multiplexed characteristic of its measurements. However, this alone is a weak form of security, as various adversarial attacks can be designed to invert the one-to-many scene mapping of such ...
Simeoni, Matthieu, Bezzam, Eric, Vetterli, Martin   +2 more
core  

Diffuser-Based Lensless Light-Field Imaging

Light-field cameras have become a groundbreaking technology for capturing high dimensional light information, enabling enhanced visual perception across a wide range of applications.
Chen Mo (19581502)
core   +1 more source

Lensless Light-field Imaging with Angular Resolution Improvement

, 2023
Lensless light-field imaging is the process to encode the light field information of object through an optical encoder, and then recover the light field information of object through a reconstruction algorithm.
Zewei Cai (3984908), Jiangtao Xi (6193400), Jun Tong (821940), Chen Mo (766022), Xiaoli Liu (165371)   +4 more
core  

GANESH: Generalizable NeRF for Lensless Imaging

2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Lensless imaging offers a significant opportunity to develop ultra-compact cameras by removing the conventional bulky lens system. However, without a focusing element, the sensor's output is no longer a direct image but a complex multiplexed scene representation.
Rakesh Raj Madavan, Akshat Kaimal, Badhrinarayanan K. V, Vinayak Gupta, Rohit Choudhary, Chandrakala Shanmuganathan, Kaushik Mitra   +6 more
openaire   +4 more sources

Flat lensless phase imager

, 2016
Lensless imaging refers to an imaging technique which requires no imaging element between the light transmitted by the sample and the camera. This configuration enables designing compact devices.
Moser, Christophe, Rostykus, Manon, Manon Rostykus, Christophe Moser   +3 more
core   +1 more source

Single-shot lensless imaging with fresnel zone aperture and incoherent illumination. [PDF]

Light Sci Appl, 2020
Wu J, Zhang H, Zhang W, Jin G, Cao L, Barbastathis G.   +5 more
europepmc   +1 more source

Lensless computational imaging through deep learning

, 2017
Deep learning has been proven to yield reliably generalizable solutions to numerous classification and decision tasks. Here, we demonstrate for the first time to our knowledge that deep neural networks (DNNs) can be trained to solve end-to-end inverse ...
George Barbastathis, Shuai Li, Sinha, Ayan T, Barbastathis, George, Lee, Justin, Li, Shuai, Justin Lee, Ayan Sinha   +7 more
core   +1 more source

Lensless Imaging Based on Dual‐Input Physics‐Driven Neural Network

Advanced Photonics Research
Lensless imaging, as a novel computational imaging technique, has attracted great attention due to its simplicity, compactness, and flexibility. This technique analyzes and processes the diffraction of an object to obtain complex amplitude information ...
Jiale Zuo, Ju Tang, Mengmeng Zhang, Jiawei Zhang, Zhenbo Ren, Jianglei Di, Jianlin Zhao   +6 more
doaj   +1 more source

Learning-based techniques for lensless reconstruction [PDF]

In this internship, I explore different optimization algorithms for lensless imaging. Lensless imaging is a new imaging technique that replaces the lens of a camera with a diffuser mask. This allows for simpler and cheaper camera hardware.
Perron, Yohann
core  

Tabletop Lensless Imaging in the Extreme Ultraviolet with Reduced Radiation Dose

We demonstrate a lensless XUV microscopy platform using tabletop HHG and ghost imaging. Leveraging compressive sensing, we achieve high-fidelity, damage-minimized imaging without complex optics, establishing a new paradigm for accessible microscopy.
Thomas Siefke, Monalisa Mallick, Sukyoon Oh, Christian Spielmann   +3 more
core   +1 more source