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 (≥ …

Inertial confinement fusion (ICF) has existed as a field of study since the 1970s, but the field
was born out of the Cold War. In the decades since the 1960s, pioneering research …

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 …

Digital holographic microscopy (DHM), which combines digital holography with optical
microscopy, is a wide field, minimally invasive quantitative phase microscopy (QPM) …

With the explosive growth of mathematical optimization and computing hardware, deep
neural networks (DNN) have become tremendously powerful tools to solve many …

Holography provides access to the optical phase. The emerging compressive phase
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …

Lensless imaging eliminates the need for geometric isomorphism between a scene and an
image while allowing the construction of compact, lightweight imaging systems. However, a …

This roadmap article focuses on spatially incoherent digital holography (IDH).
Representative IDH methods such as optical scanning holography (OSH), Fresnel …

From its inception holography has proven an extremely productive and attractive area of
research. While specific technical applications give rise to 'hot topics', and three-dimensional …

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