Deep learning in holography and coherent imaging

• 来源期刊: 光：科学与应用（英文版）
• 年，卷（期）: 2019,（5）
• 页码范围: 661-668
• 页数: 8页
• 语种: 英文

摘要

Recent advances in deep learning have given rise to a new paradigm of holographic image reconstruction and phase recovery techniques with real-time performance.Through data-driven approaches,these emerging techniques have overcome some of the challenges associated with existing holographic image reconstruction methods while also minimizing the hardware requirements of holography.These recent advances open up a myriad of new opportunities for the use of coherent imaging systems in biomedical and engineering research and related applications.