计算机科学
人工智能
全息术
深度学习
计算机视觉
模式识别(心理学)
光学
物理
作者
Shima Tabakhi,Mohammad Mohammadzadeh,Dina Famouri,M.R. Sayeh
标识
DOI:10.1364/cleo_at.2024.jtu2a.194
摘要
In this study, we present a deep learning-based ghost holography approach to recover occlusion-obscured image details, using a neural network trained on varied datasets, markedly enhancing image reconstruction in complex imaging scenarios.
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