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Modern Earth observation satellites capture multi-exposure bursts of push-frame images that can be super-resolved via computational means. In this work, we propose a super-resolution method for such multi-exposure sequences, a problem that…

Computer Vision and Pattern Recognition · Computer Science 2022-05-05 Ngoc Long Nguyen , Jérémy Anger , Axel Davy , Pablo Arias , Gabriele Facciolo

In this article we analyze the state-of-the-art in multilateration - the family of localization methods enabled by the range difference observations. These methods are computationally efficient, signal-independent, and flexible with regards…

Sound · Computer Science 2020-07-29 Srđan Kitić , Clément Gaultier , Grégory Pallone

We investigate a nonlinear localization microscopy method based on Rabi oscillations of single emitters. We demonstrate the fundamental working principle of this new technique using a cryogenic far-field experiment in which subwavelength…

Quantum Physics · Physics 2010-12-21 Ilja Gerhardt , Gert Wrigge , Jaseuk Hwang , Gert Zumofen , Vahid Sandoghdar

Specific emitter identification leverages hardware-induced impairments to uniquely determine a specific transmitter. However, existing approaches fail to address scenarios where signals from multiple emitters overlap. In this paper, we…

Signal Processing · Electrical Eng. & Systems 2025-09-29 Yuhao Chen , Boxiang He , Shilian Wang , Jing Lei

We propose a new wide-field imaging method that exploits the Localized Surface Plasmon Resonance phenomenon to produce super-resolution images with an optical microscope equipped with a custom design polarization analyzer module. In this…

Instrumentation and Methods for Astrophysics · Physics 2023-10-09 Andrey Alexandrov , Takashi Asada , Fabio Borbone , Valeri Tioukov , Giovanni De Lellis

We consider the problem of fusing an arbitrary number of multiband, i.e., panchromatic, multispectral, or hyperspectral, images belonging to the same scene. We use the well-known forward observation and linear mixture models with Gaussian…

Computer Vision and Pattern Recognition · Computer Science 2018-07-19 Reza Arablouei

Rapid growth in the field of quantitative digital image analysis is paving the way for researchers to make precise measurements about objects in an image. To compute quantities from the image such as the density of compressed materials or…

Computer Vision and Pattern Recognition · Computer Science 2017-07-31 Marylesa Howard , Margaret C. Hock , B. T. Meehan , Leora Dresselhaus-Cooper

Super-resolution microscopy has catalyzed valuable insights into the sub-cellular, mechanistic details of many different biological processes across a wide range of cell types. Fluorescence polarization spectroscopy tools have also enabled…

Biological Physics · Physics 2023-01-25 Jack W Shepherd , Alex L Payne-Dwyer , Ji-Eun Lee , Aisha Syeda , Mark C Leake

Single molecule localization microscopy is a recently developed superresolution imaging technique to visualize structural properties of single cells. The basic principle consists in chemically attaching fluorescent dyes to the molecules,…

We consider the problem of performing ranging measurements between a source and multiple receivers efficiently and accurately, as required by distance-based wireless localization systems. To this end, a new multipoint ranging algorithm is…

Optimization and Control · Mathematics 2014-08-15 Omotayo Oshiga , Stefano Severi , Giuseppe Abreu

This paper studies the optimal solution of the classical problem of detecting the location of multiple image occurrences in a two-dimensional, noisy measurement. Assuming the image occurrences do not overlap, we formulate this task as a…

Image and Video Processing · Electrical Eng. & Systems 2024-07-31 Simon Anuk , Tamir Bendory , Amichai Painsky

A variety of recent imaging techniques are able to beat the diffraction limit in fluorescence microcopy by activating and localizing subsets of the fluorescent molecules in the specimen, and repeating this process until all of the molecules…

Optics · Physics 2010-08-27 Alexander R. Small

In this paper, the problems of simultaneously detecting and localizing multiple targets are considered for noncoherent multiple-input multiple-output (MIMO) radar with widely separated antennas. By assuming a prior knowledge of target…

Information Theory · Computer Science 2017-01-09 Wei Yi , Tao Zhou , Mingchi Xie , Yue Ai , Rick S. Blum

We present a quantum sensing protocol for the simultaneous estimation of the difference in the localization parameters of two single-photon sources, paving the way to single-photon 3D imaging and 3D nanoscopy beyond the diffraction limit.…

Quantum Physics · Physics 2026-02-18 Luca Maggio , Vincenzo Tamma

A long-standing challenge in multiple-particle-tracking is the accurate and precise 3D localization of individual particles at close proximity. One established approach for snapshot 3D imaging is point-spread-function (PSF) engineering, in…

Image and Video Processing · Electrical Eng. & Systems 2020-10-01 Elias Nehme , Boris Ferdman , Lucien E. Weiss , Tal Naor , Daniel Freedman , Tomer Michaeli , Yoav Shechtman

Superresolution refers to the estimation of parameters of an image with an accuracy beyond standard classical techniques such as direct detection. In seminal work by Lu et al., a measurement to estimate the separation distance of two point…

Quantum Physics · Physics 2022-06-30 Hari Krovi

The precise determination of the position of point-like emitters and scatterers using far-field optical imaging techniques is of utmost importance for a wide range of applications in medicine, biology, astronomy, and physics. Although the…

Fluorescence microscopy is essential in biological and medical research, providing critical insights into cellular structures. However, limited by optical diffraction and background noise, a substantial amount of hidden information is still…

Biological Physics · Physics 2026-04-14 Xiaofeng Zhang , Yongsheng Huang , Jielong Yang , Zhili Wang , Si Chen , Linbo Liu , Xin Ge

This paper proposes a fast multi-band image fusion algorithm, which combines a high-spatial low-spectral resolution image and a low-spatial high-spectral resolution image. The well admitted forward model is explored to form the likelihoods…

Computer Vision and Pattern Recognition · Computer Science 2015-10-28 Qi Wei , Nicolas Dobigeon , Jean-Yves Tourneret

A non-linear system governed by multi-spatial and multi-temporal physics scales cannot be fully understood with a single diagnostic, as each provides only a partial view, leading to information loss. Combining multiple diagnostics may also…