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computational ghost imaging 1deep learning 1image reconstruction 1low sampling ratio 1pattern optimization 1

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1 paper

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…