Resolving Multiphoton Coincidences in Single-Photon Detector Arrays with Row-Column Readouts

• URL: http://arxiv.org/abs/2312.02971v2
• Date: Wed, 6 Dec 2023 04:01:57 GMT
• Title: Resolving Multiphoton Coincidences in Single-Photon Detector Arrays with Row-Column Readouts
• Authors: Shashwath Bharadwaj, Ruangrawee Kitichotkul, Akshay Agarwal, Vivek K Goyal
• Abstract summary: Row-column multiplexing has proven to be an effective strategy in scaling single-photon detector arrays to kilopixel and megapixel spatial resolutions. We propose a method to resolve up to 4-photon coincidences in single-photon detector arrays with row-column readouts.
• Score: 8.99464235494883
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Row-column multiplexing has proven to be an effective strategy in scaling single-photon detector arrays to kilopixel and megapixel spatial resolutions. However, with this readout mechanism, multiphoton coincidences on the array cannot be easily resolved due to ambiguities concerning their spatial locations of incidence. In this work, we propose a method to resolve up to 4-photon coincidences in single-photon detector arrays with row-column readouts. By utilizing unambiguous single-photon measurements to estimate probabilities of detection at each pixel, we redistribute the ambiguous multiphoton counts among candidate pixel locations such that the peak signal-to-noise-ratio of the reconstruction is increased between 3 and 4 dB compared to conventional methods at optimal operating conditions. We also show that our method allows the operation of these arrays at higher incident photon fluxes as compared to previous methods. The application of this technique to imaging natural scenes is demonstrated using Monte Carlo experiments.

Related papers

• Developing a practical model for noise in entangled photon detection [0.22057828706896188]
  We develop a comprehensive model for the effective two-photon density matrix produced by a parametric source of entangled photon pairs. We derive the probability of obtaining a single coincidence assuming Poisson-distributed photon pairs, non-unit detection efficiency, and dark counts. Our work provides a valuable tool for the quantitative design of two-photon experiments under realistic nonidealities.
  arXiv  Detail & Related papers  (2025-01-02T22:06:12Z)
• bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction [57.199618102578576]
  We propose bit2bit, a new method for reconstructing high-quality image stacks at original resolution from sparse binary quantatemporal image data. Inspired by recent work on Poisson denoising, we developed an algorithm that creates a dense image sequence from sparse binary photon data. We present a novel dataset containing a wide range of real SPAD high-speed videos under various challenging imaging conditions.
  arXiv  Detail & Related papers  (2024-10-30T17:30:35Z)
• Spatially multiplexed single-photon sources based on binary-tree multiplexers with optimized structure [0.0]
  We develop a method for optimizing the structure of general binary-tree multiplexers realized with asymmetric photon routers. We show that single-photon sources based on such optimal multiplexers yield higher single-photon probabilities than that can be achieved with single-photon sources based on any other spatial multiplexer.
  arXiv  Detail & Related papers  (2024-07-24T15:49:39Z)
• Multifold enhancement of quantum SNR by using an EMCCD as a photon number resolving device [0.0]
  We present a method to estimate the mean rate of photons per pixel per frame for arbitrary exposure time. This allows us to effectively utilize the EMCCD as a photon number resolving device.
  arXiv  Detail & Related papers  (2023-12-07T10:11:27Z)
• Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and Universality [15.525314212209564]
  We propose a new concept known as the spatially varying exposure risk (SVE-Risk) which is a pseudo-idealistic enumeration of the amount of recoverable pixels. We show that given a multiplex pattern, the conventional optimality criteria based on the input/output-referred signal-to-noise ratio can lead to flawed decisions. We report a design observation that the design universality pattern can be decoupled from the image reconstruction algorithm.
  arXiv  Detail & Related papers  (2023-06-30T02:08:25Z)
• Optimal Amplitude Multiplexing of a Series of Superconducting Nanowire Single Photon Detectors [58.720142291102135]
  Integrated arrays of Superconducting Nanowire Single Photon Detectors (SNSPDs) have shown capabilities such as Photon Number Resolution, single photon imaging and coincidences detection. The growing complexity of such applications requires the use of multiplexing schemes for the simultaneous readout of different detectors. A simple multiplexing scheme can be realized by arranging a series of SNSPDs elements, shunted by appropriate resistances.
  arXiv  Detail & Related papers  (2023-03-14T15:57:17Z)
• Super-resolution enhancement in bi-photon spatial mode demultiplexin [0.0]
  Imaging systems measuring intensity in the far field succumb to Rayleigh's curse, a resolution limitation dictated by the finite aperture of the optical system. Many proof-of-principle and some two-dimensional imaging experiments have shown that, by using spatial mode demultiplexing (SPADE), the field information collected is maximal.
  arXiv  Detail & Related papers  (2022-12-20T17:40:46Z)
• Deblurring via Stochastic Refinement [85.42730934561101]
  We present an alternative framework for blind deblurring based on conditional diffusion models. Our method is competitive in terms of distortion metrics such as PSNR.
  arXiv  Detail & Related papers  (2021-12-05T04:36:09Z)
• Moment-based superresolution: Formalism and applications [0.0]
  We introduce a simple superresolution protocol to estimate the separation between two thermal sources. We show how optimal observables for this technique may be constructed for arbitrary thermal sources. We also investigate the impact of noise on the optimal observables, their measurement sensitivity and on the scaling with the number of detected photons of the smallest resolvable separation.
  arXiv  Detail & Related papers  (2021-05-26T08:48:28Z)
• Compact linear optical scheme for Bell state generation [0.0]
  We report the most compact scheme producing the dual-rail-encoded Bell states out of four single photons. Our scheme requires a five-mode interferometer and a single photon detector, while the previously known schemes use six-mode interferometers and two photon detectors.
  arXiv  Detail & Related papers  (2021-05-13T14:01:32Z)
• Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition [78.37855832568569]
  We propose to solve a model-based maximum-a-posterior problem to reconstruct multi-materials images with application to spectral CT. In particular, we propose to solve a regularized optimization problem based on a plug-in image-denoising function. We show numerical and experimental results for spectral CT materials decomposition.
  arXiv  Detail & Related papers  (2021-03-25T15:20:10Z)
• Calibrated and Partially Calibrated Semi-Generalized Homographies [65.29477277713205]
  We propose the first minimal solutions for estimating the semi-generalized homography given a perspective and a generalized camera. The proposed solvers are stable and efficient as demonstrated by a number of synthetic and real-world experiments.
  arXiv  Detail & Related papers  (2021-03-11T08:56:24Z)
• Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging [52.42007686600479]
  We propose a learned block-sparse optimization approach using an iterative algorithm unfolded into a deep neural network. We show the benefits of using a learned block iterative shrinkage thresholding algorithm that is able to learn the choice of regularization parameters.
  arXiv  Detail & Related papers  (2020-12-07T09:27:16Z)
• MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution [63.02785017714131]
  Video super-resolution (VSR) aims to utilize multiple low-resolution frames to generate a high-resolution prediction for each frame. Inter- and intra-frames are the key sources for exploiting temporal and spatial information. We build an effective multi-correspondence aggregation network (MuCAN) for VSR.
  arXiv  Detail & Related papers  (2020-07-23T05:41:27Z)
• ITSELF: Iterative Saliency Estimation fLexible Framework [68.8204255655161]
  Saliency object detection estimates the objects that most stand out in an image. We propose a superpixel-based ITerative Saliency Estimation fLexible Framework (ITSELF) that allows any user-defined assumptions to be added to the model. We compare ITSELF to two state-of-the-art saliency estimators on five metrics and six datasets.
  arXiv  Detail & Related papers  (2020-06-30T16:51:31Z)
• Optimization of multiplexed single-photon sources operated with photon-number-resolving detectors [0.0]
  Detectors capable of resolving photon numbers have undergone a significant development recently, and this is expected to affect multiplexed periodic single-photon sources. We analyze various spatially and time-multiplexed periodic single-photon source arrangements with photon-number-resolving detectors. We find that the highest single-photon probability is 0.907 that can be achieved by binary bulk time multiplexers using photon-number-resolving detectors.
  arXiv  Detail & Related papers  (2020-03-25T08:46:19Z)
• Efficient computation of backprojection arrays for 3D light field deconvolution [0.0]
  Light field deconvolution allows three-dimensional investigations from a single snapshot recording of a plenoptic camera. It is based on a linear image formation model, and iterative volume reconstruction requires to define the backprojection of individual image pixels into object space. New algorithm is presented to determine H' from H, which is based on the distinct relation of the elements' positions within the two multi-dimensional arrays.
  arXiv  Detail & Related papers  (2020-03-20T07:55:45Z)
• Hyperspectral-Multispectral Image Fusion with Weighted LASSO [68.04032419397677]
  We propose an approach for fusing hyperspectral and multispectral images to provide high-quality hyperspectral output. We demonstrate that the proposed sparse fusion and reconstruction provides quantitatively superior results when compared to existing methods on publicly available images.
  arXiv  Detail & Related papers  (2020-03-15T23:07:56Z)
• Microlens array grid estimation, light field decoding, and calibration [77.34726150561087]
  We investigate multiple algorithms for microlens array grid estimation for microlens array-based light field cameras. Explicitly taking into account natural and mechanical vignetting effects, we propose a new method for microlens array grid estimation.
  arXiv  Detail & Related papers  (2019-12-31T13:27:13Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.