Despite major advances in x-ray sources, detector arrays, gantry mechanical design and
especially computer performance, one component of computed tomography (CT) scanners …

The emerging field of compressed sensing has potentially powerful implications for the
design of optical imaging devices. In particular, compressed sensing theory suggests that …

Compressed sensing (CS) is an emerging field that has attracted considerable research
interest over the past few years. Previous review articles in CS limit their scope to standard …

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 …

FlatCam is a thin form-factor lensless camera that consists of a coded mask placed on top of
a bare, conventional sensor array. Unlike a traditional, lens-based camera, where an image …

This paper demonstrates that convolution with random waveform followed by random time-
domain subsampling is a universally efficient compressive sensing strategy. We show that …

A CMOS image sensor architecture with built-in single-shot compressed sensing is
described. The image sensor employs a conventional 4-T pixel and per-column ΣΔ ADCs …

Compressive sensing encodes a signal into a relatively small number of incoherent linear
measurements. In theory, the optimal incoherence is achieved by completely random …

Compressive sensing is a relatively new measurement paradigm which seeks to capture the
“essential” aspects of a high-dimensional object using as few measurements as possible. In …

This paper demonstrates a computational image sensor capable of implementing
compressive sensing operations. Instead of sensing raw pixel data, this image sensor …