Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …

Deep learning has been developing rapidly, and many holographic applications have been
investigated using deep learning. They have shown that deep learning can outperform …

Deep learning-based image reconstruction methods have achieved remarkable success in
phase recovery and holographic imaging. However, the generalization of their image …

Digital holography is one of the most widely used label-free microscopy techniques in
biomedical imaging. Recovery of the missing phase information on a hologram is an …

Digital holography is a 3D imaging technique by emitting a laser beam with a plane
wavefront to an object and measuring the intensity of the diffracted waveform, called …

Ultrafast radiographic imaging and tracking (U-RadIT) use state-of-the-art ionizing particle
and light sources to experimentally study sub-nanosecond transients or dynamic processes …

The application of deep learning techniques has greatly enhanced holographic imaging
capabilities, leading to improved phase recovery and image reconstruction. Here, we …

Computational methods have been established as cornerstones in optical imaging and
holography in recent years. Every year, the dependence of optical imaging and holography …

Dual-wavelength in-line digital holography (DIDH) is one of the popular methods for
quantitative phase imaging of objects with non-contact and high-accuracy features. Two …

The challenge of phase recovery from the experimentally available magnitude of the signal
appears in various fields of science and engineering. To prepare a broad framework and …