We review the impact of deep-learning technologies on camera architecture. The function of
a camera is first to capture visual information and second to form an image. Conventionally …

Parallel lens systems and parallel image signal processing enable cost efficient and
compact cameras to capture gigapixel scale images. This paper reviews the context of such …

We demonstrate lensfree holographic microscopy on a chip to achieve~ 0.6 µm spatial
resolution corresponding to a numerical aperture of~ 0.5 over a large field-of-view of~ 24 …

Compressive tomography consists of estimation of high-dimensional objects from lower
dimensional measurements. We review compressive tomography using radiation fields …

We propose a flexible light field camera architecture that is at the convergence of optics,
sensor electronics, and applied mathematics. Through the co-design of a sensor that …

We present an original and compact optical system inspired by the unusual eyes of a
Strepsipteran insect called Xenos peckii. It is designed for a field of view of 30° and is …

High-quality light field photography has been one of the most difficult challenges in
computational photography. Conventional methods either sacrifice resolution, use multiple …

We present a method for overcoming the pixel-limited resolution of digital imagers. Our
method combines optical point-spread function engineering with subpixel image shifting. We …

We demonstrate a physics-aware transformer for feature-based data fusion from cameras
with diverse resolution, color spaces, focal planes, focal lengths, and exposure. We also …

Diffractive axicons are optical components producing achromatic nondiffracting beams. They
thus produce a focal line rather than a focal point for classical lenses. This gives the …