Metamaterials enable precise tailoring of light–matter interactions at the subwavelength
scale, permitting access to the full range of electromagnetic responses encoded in Maxwell's …

Modern digital cameras employ silicon focal plane array (FPA) image sensors featuring
millions of pixels. However, it is possible to make a camera that only needs one pixel. In …

The production of pairs of entangled photons simply by focusing a laser beam onto a crystal
with a nonlinear optical response was used to test quantum mechanics and to open new …

The goal of this paper is to present a non-iterative and more importantly an extremely fast
algorithm to reconstruct images from compressively sensed (CS) random measurements. To …

Single-pixel imaging which employs active illumination to acquire spatial information is an
innovative imaging scheme and has received increasing attentions in recent years. It is …

Single-pixel imaging (SPI) has emerged as a powerful technique that uses coded wide-field
illumination with sampling by a single-point detector. Most SPI systems are limited by the …

Based on the classic augmented Lagrangian multiplier method, we propose, analyze and
test an algorithm for solving a class of equality-constrained non-smooth optimization …

Techniques from sparse signal representation are beginning to see significant impact in
computer vision, often on nontraditional applications where the goal is not just to obtain a …

By leveraging metamaterials and compressive imaging, a low-profile aperture capable of
microwave imaging without lenses, moving parts, or phase shifters is demonstrated. This …

Compressive sensing (CS) is a novel sampling paradigm that samples signals in a much
more efficient way than the established Nyquist sampling theorem. CS has recently gained a …