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相关论文: High-sensitivity high-speed compressive spectromet…

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Classic designs of hyperspectral instrumentation densely sample the spatial and spectral information of the scene of interest. Data may be compressed after the acquisition. In this paper we introduce a framework for the design of an…

图像与视频处理 · 电气工程与系统科学 2023-09-21 T. A. Stockmans , F. Snik , M. Esposito , C. van Dijk , C. U. Keller

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…

计算机视觉与模式识别 · 计算机科学 2020-03-17 Nguyen Tran , Rupali Mankar , David Mayerich , Zhu Han

In this work we extend low frequency impulsive stimulated Raman microspectroscopy to the pre-electronic resonance regime. We use a broadband two color collinear pump probe scheme which can be readily extended to imaging. We discuss the…

光学 · 物理学 2020-07-10 Yahel Soffer , Dekel Raanan , Dan Oron

We revisit laser intensity noise in the context of stimulated Raman scattering (SRS), which has recently proved to be a key technique to provide label free images of chemical bonds in biological and medical samples. Contrary to most…

仪器与探测器 · 物理学 2019-10-29 Xavier Audier , Sandro Heuke , Peter Volz , Ingo Rimke , Hervé Rigneault

Stimulated Raman scattering (SRS) microscopy allows for high-speed label-free chemical imaging of biomedical systems. The imaging sensitivity of SRS microscopy is limited to ~10 mM for endogenous biomolecules. Electronic pre-resonant SRS…

We propose a novel compressed sensing technique to accelerate the magnetic resonance imaging (MRI) acquisition process. The method, coined spread spectrum MRI or simply s2MRI, consists of pre-modulating the signal of interest by a linear…

其他计算机科学 · 计算机科学 2012-03-13 Gilles Puy , Jose P. Marques , Rolf Gruetter , Jean-Philippe Thiran , Dimitri Van De Ville , Pierre Vandergheynst , Yves Wiaux

Confocal Raman microscopy offers a particular pathway for monitoring chemical "fingerprints" of intracellular components like the cell membrane, organelles, and nucleus. Nevertheless, conventional Raman acquisitions of fixed or randomly…

Sensitive mid-infrared (MIR) spectroscopy plays an indispensable role in various photon-starved conditions. However, the detection sensitivity of conventional MIR spectrometers is severely limited by excessive noises of the involved…

Hyperspectral imaging with high spectral resolution plays an important role in finding objects, identifying materials, or detecting processes. The decrease of the widths of spectral bands leads to a decrease in the signal-to-noise ratio…

图像与视频处理 · 电气工程与系统科学 2021-09-21 Lina Zhuang , Michael K. Ng

Raman spectroscopy has attracted interest as a non-invasive optical technique to study the composition and structure of a wide range of materials at the microscopic level. The intrinsic fluorescence background can be orders of magnitude…

材料科学 · 物理学 2015-10-28 P. J. Cadusch , M. M. Hlaing , S. A. Wade , S. L. McArthur , P. R. Stoddart

Hyperspectral microscopy is an imaging technique that provides spectroscopic information with high spatial resolution. When applied in the relevant wavelength region, such as in the infrared (IR), it can reveal a rich spectral fingerprint…

Compressive imaging is an emerging application of compressed sensing, devoted to acquisition, encoding and reconstruction of images using random projections as measurements. In this paper we propose a novel method to provide a scalable…

信息论 · 计算机科学 2013-10-07 Diego Valsesia , Enrico Magli

Compressive sensing is the newly emerging method in information technology that could impact array beamforming and the associated engineering applications. However, practical measurements are inevitably polluted by noise from external…

信息论 · 计算机科学 2013-07-12 Siyang Zhong , Xun Huang

Two-dimensional, resonant scanners have been utilized in a large variety of imaging modules due to their compact form, low power consumption, large angular range, and high speed. However, resonant scanners have problems with non-optimal and…

图像与视频处理 · 电气工程与系统科学 2023-05-05 Zhanghao Sun , Ronald Quan , Olav Solgaard

This paper introduces two acquisition device architectures for multispectral compressive imaging. Unlike most existing methods, the proposed computational imaging techniques do not include any dispersive element, as they use a dedicated…

计算机视觉与模式识别 · 计算机科学 2018-02-07 Kévin Degraux , Valerio Cambareri , Bert Geelen , Laurent Jacques , Gauthier Lafruit

Wearable photoacoustic imaging devices hold great promise for continuous health monitoring and point-of-care diagnostics. However, the large data volume generated by high-density transducer arrays presents a major challenge for realizing…

图像与视频处理 · 电气工程与系统科学 2025-11-11 Huan-Cheng Liao , Shunyao Zhang , Yumin Su , Arvind Govinday , Yiwei Zou , Wei Wang , Vivek Boominathan , Ashok Veeraraghavan , Lei S. Li , Kaiyuan Yang

The vibrational and electronic properties of 2-dimensinal (2D) materials can be efficiently tuned by external strain due to their good stretchability. Resonant Raman spectroscopy is a versatile tool to study the physics of phonons,…

We present a technique for extracting Raman intensities from ab initio molecular dynamics (MD) simulations at high temperature. The method is applied to the highly anharmonic case of dense hydrogen up to 500 K for pressures ranging from 180…

材料科学 · 物理学 2013-02-25 Ioan B. Magdau , Graeme J. Ackland

High-energy, large-scale particle colliders in nuclear and high-energy physics generate data at extraordinary rates, reaching up to $1$ terabyte and several petabytes per second, respectively. The development of real-time, high-throughput…

人工智能 · 计算机科学 2024-12-03 Xihaier Luo , Samuel Lurvey , Yi Huang , Yihui Ren , Jin Huang , Byung-Jun Yoon

Compressive displays are an emerging technology exploring the co-design of new optical device configurations and compressive computation. Previously, research has shown how to improve the dynamic range of displays and facilitate…

新兴技术 · 计算机科学 2015-06-19 Felix Heide , James Gregson , Gordon Wetzstein , Ramesh Raskar , Wolfgang Heidrich