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We demonstrate a new kind of optical spectrometer employing photonic crystal patterns to outcouple waveguided light from a transparent substrate. This spectrometer consists of an array of photonic crystal patterns, nanofabricated in a…

Multi-spectral imaging, which simultaneously captures the spatial and spectral information of a scene, is widely used across diverse fields, including remote sensing, biomedical imaging, and agricultural monitoring. Here, we introduce a…

Light field (LF) imaging captures both angular and spatial light distributions, enabling advanced photographic techniques. However, micro-lens array (MLA)- based cameras face a spatial-angular resolution tradeoff due to a single shared…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Javeria Shabbir , Muhammad Zeshan. Alam , M. Umair Mukati

Multi-object or integral field spectrographs are recognized techniques for achieving simultaneous spectroscopic observations of different or extended sky objects with a high multiplex factor. In this communication is described a…

Instrumentation and Detectors · Physics 2016-12-14 Francois Henault , Florence Laurent

Using optical speckle scanning microscopy [1], we demonstrate that clear images of multiple cells can be obtained through biological scattering tissue, with subcellular resolution and good image quality, as long as the size of the imaging…

Optics · Physics 2023-07-19 Xin Yang , Ye Pu , Demetri Psaltis

Photography usually requires optics in conjunction with a recording device (an image sensor). Eliminating the optics could lead to new form factors for cameras. Here, we report a simple demonstration of imaging using a bare CMOS sensor that…

Computer Vision and Pattern Recognition · Computer Science 2018-05-23 Ganghun Kim , Kyle Isaacson , Racheal Palmer , Rajesh Menon

Traditional snapshot hyperspectral imaging systems generally require multiple refractive-optics-based elements to modulate light, resulting in bulky framework. In pursuit of a more compact form factor, a metasurface-based snapshot…

Optics · Physics 2022-11-29 Qiangbo Zhang , Zeqing Yu , Xinyu Liu , Chang Wang , Zhenrong Zheng

Spectral imaging collects and processes information along spatial and spectral coordinates quantified in discrete voxels, which can be treated as a 3D spectral data cube. The spectral images (SIs) allow identifying objects, crops, and…

Information Theory · Computer Science 2023-04-12 Jorge Bacca , Emmanuel Martinez , Henry Arguello

We study numerically, by means of the pseudospectral time-domain method, the unique features of imaging by a flat lens made of a left-handed metamaterial that possesses the property of negative refraction. We confirm the earlier finding…

Optics · Physics 2009-11-10 Michael W. Feise , Yuri S. Kivshar

In the recent years, metasurfaces, being flat and lightweight, have been designed to replace bulky optical components with various functions. We demonstrate a monolithic Micro-Electro-Mechanical System (MEMS) integrated with a…

Applied Physics · Physics 2018-05-18 Tapashree Roy , Shuyan Zhang , Il Woong Jung , Mariano Troccoli , Federico Capasso , Daniel Lopez

We demonstrate a compact, cost-effective snapshot spectral imaging system named Aperture Diffraction Imaging Spectrometer (ADIS), which consists only of an imaging lens with an ultra-thin orthogonal aperture mask and a mosaic filter sensor,…

Computer Vision and Pattern Recognition · Computer Science 2023-09-29 Tao Lv , Hao Ye , Quan Yuan , Zhan Shi , Yibo Wang , Shuming Wang , Xun Cao

This paper proposes a new approach to construct high quality space-filling sample designs. First, we propose a novel technique to quantify the space-filling property and optimally trade-off uniformity and randomness in sample designs in…

A minimalist vision system uses the smallest number of pixels needed to solve a vision task. While traditional cameras use a large grid of square pixels, a minimalist camera uses freeform pixels that can take on arbitrary shapes to increase…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Jeremy Klotz , Shree K. Nayar

In this paper, we show by experiment that by covering a thin flat nonlinear lens on the sources, the sub-diffraction-limit observation can be achieved by measuring either the near-field distribution or the far-field radiation of the sources…

We propose an approach to optical imaging beyond the diffraction limit, based on transformation optics in concentric circular cylinder domains. The resulting systems allow image magnification and minimize reflection losses due to the…

Optics · Physics 2009-11-13 Alexander V. Kildishev , Evgenii E. Narimanov

A photonic spectrograph can be much smaller than a conventional spectrograph with the same resolving power. Individual devices can be integrated with optical fibres to improve the multiplex gain in astronomical spectroscopy. Although…

Instrumentation and Methods for Astrophysics · Physics 2015-05-14 Jeremy Allington-Smith , Joss Bland-Hawthorn

We describe a new concept for a MEMS-based active spatial filter for astronomical spectroscopy. The goal of this device is to allow the use of a diffraction-limited spectrometer on a seeing limited observation at improved throughput over a…

Astrophysics · Physics 2009-11-11 A. I. Sheinis , L. Nigra , M. Q. Kuhlen

Spectral imagers, the classic example being the color camera, are ubiquitous in everyday life. However, most such imagers rely on filter arrays that absorb light outside each spectral channel, yielding ~1/N efficiency for an N-channel…

Optics · Physics 2021-02-03 Jordan A. Goldstein , Dirk R. Englund

Lensless imaging seeks to replace/remove the lens in a conventional imaging system. The earliest cameras were in fact lensless, relying on long exposure times to form images on the other end of a small aperture in a darkened room/container…

Image and Video Processing · Electrical Eng. & Systems 2022-06-06 Eric Bezzam , Sepand Kashani , Martin Vetterli , Matthieu Simeoni

Spectral imaging enables spatially-resolved identification of materials in remote sensing, biomedicine, and astronomy. However, acquisition times require balancing spectral and spatial resolution with signal-to-noise. Hyperspectral imaging…

Computer Vision and Pattern Recognition · Computer Science 2020-03-17 Nguyen Tran , Rupali Mankar , David Mayerich , Zhu Han
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