The goal of spectral imaging is to capture the spectral signature of a target. Traditional
scanning method for spectral imaging suffers from large system volume and low image …

With the rapid development of high-speed communication and artificial intelligence
technologies, human perception of real-world scenes is no longer limited to the use of small …

Nano-optic imagers that modulate light at sub-wavelength scales could enable new
applications in diverse domains ranging from robotics to medicine. Although metasurface …

Convolutional neural networks (CNNs) excel in a wide variety of computer vision
applications, but their high performance also comes at a high computational cost. Despite …

In typical cameras the optical system is designed first; once it is fixed, the parameters in the
image processing algorithm are tuned to get good image reproduction. In contrast to this …

Flat lenses, including metalens and diffractive lens, have attracted increasing attention due
to their ability to miniaturize the imaging devices. However, realizing a large scale …

The refractive-lens technique has been well developed over a long period of evolution,
offering powerful imaging functionalities, such as microscopes, telescopes, and …

Diffractive achromats (DAs) promise ultra-thin and light-weight form factors for full-color
computational imaging systems. However, designing DAs with the optimal optical transfer …

Abstract High-dynamic-range (HDR) imaging is crucial for many applications. Yet, acquiring
HDR images with a single shot remains a challenging problem. Whereas modern deep …

We demonstrate a versatile thin lensless camera with a designed phase-mask placed at sub-
2 mm from an imaging CMOS sensor. Using wave optics and phase retrieval methods, we …