Computer-generated holography is a promising technique that modulates user-defined
wavefronts with digital holograms. Computing appropriate holograms with faithful …

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

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

Deep learning offers a novel opportunity to achieve both high-quality and high-speed
computer-generated holography (CGH). Current data-driven deep learning algorithms face …

Existing applications of deep learning in computational imaging and microscopy mostly
depend on supervised learning, requiring large-scale, diverse and labelled training data …

The sixth generation (6G) networks are expected to enable immersive communications and
bridge the physical and the virtual worlds. Integrating extended reality, holography, and …

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 …

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

Metasurface holography has aroused immense interest in producing holographic images
with high quality, higher-order diffraction-free, and large viewing angles by using a planar …

With the explosive developments of deep learning, learning–based computer–generated
holography (CGH) has become an effective way to achieve real–time and high–quality …