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 …

Three-dimensional fluorescence imaging has been a longstanding goal for microscopists,
made all the more challenging when aiming for a trifecta of resolution, speed, and field of …

Cameras are designed with a complicated tradeoff between image quality (eg sharpness,
contrast, color fidelity), and practical considerations such as cost, form factor, and weight …

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 …

Depth estimation from a single image is a well-known challenge in computer vision. With the
advent of deep learning, several approaches for monocular depth estimation have been …

Although emerging virtual and augmented reality (VR/AR) systems can produce highly
immersive experiences, they can also cause visual discomfort, eyestrain, and nausea. One …

Modern consumer electronics market dictates the need for small-scale and high-
performance cameras. Such designs involve trade-offs between various system parameters …

A computational camera uses a combination of optics and processing to produce images
that cannot be captured with traditional cameras. In the last decade, computational imaging …

We propose a new type of lensless camera enabling light-field imaging for focusing after
image capture and show its feasibilities with some prototyping. The camera basically …

The plenoptic function is a ray‐based model for light that includes the colour spectrum as
well as spatial, temporal and directional variation. Although digital light sensors have greatly …