High-fidelity ghost imaging using untrained physics-driven dual-network framework at ultra-low sampling rates
Year: 2026
Type: article
Source: Applied Physics Letters
DOI: 10.1063/5.0324916
Institution: Sichuan University
Language: English
Subfield: Acoustics and Ultrasonics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: closed
Award: G7594611419
OpenAlex ID: W7154107473
