Jan. 10, 2024, 11:40 a.m. | Rachit Ranjan

MarkTechPost www.marktechpost.com

Light is studied in two essential components:  amplitude and phase. However, optical detectors that rely on photon-to-electron conversion face problems capturing the phase due to their restricted sampling frequency. The limitation they face is that while they can easily measure the amplitude, they struggle to grasp the phase due to limitations in their sampling frequency. […]


The post Can Deep Learning Revolutionize Phase Recovery? This Review Paper Explores Its Impact and Future in Computational Imaging appeared first on MarkTechPost.

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