computational ghost imaging 1deep learning 1image reconstruction 1low sampling ratio 1pattern optimization 1
From the 1 of 2 linked papers with an AI index.
2 papers
physics.optics2026
DO-CGI: deep-optimized illumination patterns for computational ghost imaging at low sampling ratios
Mor Hale, Ofir Lindenbaum, Eliahu Cohen
The paper introduces a deep‑learning framework that designs optimized illumination patterns for computational ghost imaging, achieving higher image quality at very low sampling rat…
quant-ph2024
Refined Tsirelson Bounds on Multipartite Bell Inequalities
Rain Lenny, Dana Ben Porath, Eliahu Cohen
Despite their importance, there is an on-going challenge characterizing multipartite quantum correlations. The Svetlichny and Mermin-Klyshko (MK) inequalities present constraints o…