There has been a resurgence of interest in optical computing since the early 2010s, both in
academia and in industry, with much of the excitement centred around special-purpose …

In this roadmap article, we have focused on the most recent advances in terahertz (THz)
imaging with particular attention paid to the optimization and miniaturization of the THz …

Capturing high-dimensional (HD) data is a long-term challenge in signal processing and
related fields. Snapshot compressive imaging (SCI) uses a 2D detector to capture HD (≥ …

Optical metasurfaces can offer high-quality multichannel displays by modulating different
degrees of freedom of light, demonstrating great potential in the next generation of optical …

The last decade has seen the development of a wide set of tools, such as wavefront
shaping, computational or fundamental methods, that allow us to understand and control …

Since their inception in the 1930–1960s, the research disciplines of computational imaging
and machine learning have followed parallel tracks and, during the last two decades …

As an indispensable complement to an integer vortex beam, the fractional vortex beam has
unique physical properties such as radially notched intensity distribution, complex phase …

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 …

Single-pixel cameras have recently emerged as promising alternatives to multi-pixel sensors
due to reduced costs and superior durability, which are particularly attractive for mid-infrared …

Snapshot compressive imaging (SCI) aims to capture the high-dimensional (usually 3D)
images using a 2D sensor (detector) in a single snapshot. Though enjoying the advantages …