Search Results for author: Stephen McLaughlin

Found 15 papers, 2 papers with code

Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation

no code implementations4 Oct 2021 Dan Yao, Stephen McLaughlin, Yoann Altmann

This paper presents a scalable approximate Bayesian method for image restoration using total variation (TV) priors.

Compressive Sensing Denoising +1

Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data

no code implementations3 Sep 2021 Mohamed Amir Alaa Belmekki, Rachael Tobin, Gerald S. Buller, Stephen McLaughlin, Abderrahim Halimi

Given a task of interest, the iterative sampling strategy targets the most informative regions of a scene which are defined as those minimizing parameter uncertainties.

Patch-Based Image Restoration using Expectation Propagation

no code implementations18 Jun 2021 Dan Yao, Stephen McLaughlin, Yoann Altmann

This paper presents a new Expectation Propagation (EP) framework for image restoration using patch-based prior distributions.

Denoising Image Restoration

Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging

no code implementations18 Mar 2021 Abderrahim Halimi, Aurora Maccarone, Robert Lamb, Gerald S. Buller, Stephen McLaughlin

3D Lidar imaging can be a challenging modality when using multiple wavelengths, or when imaging in high noise environments (e. g., imaging through obscurants).

Decision Making

Robust super-resolution depth imaging via a multi-feature fusion deep network

1 code implementation20 Nov 2020 Alice Ruget, Stephen McLaughlin, Robert K. Henderson, Istvan Gyongy, Abderrahim Halimi, Jonathan Leach

The network is designed for a SPAD camera operating in a dual-mode such that it captures alternate low resolution depth and high resolution intensity images at high frame rates, thus the system does not require any additional sensor to provide intensity images.

Autonomous Vehicles Image Denoising +1

BER Performance of Spatial Modulation Systems Under a Non-Stationary Massive MIMO Channel Model

no code implementations28 Jul 2020 Yu Fu, Cheng-Xiang Wang, Xuming Fang, Li Yan, Stephen McLaughlin

When compared with the V-BLAST system and the channel inversion system, SM approaches offer advantages in performance for MU massive MIMO systems.

End-to-End Energy Efficiency Evaluation for B5G Ultra Dense Networks

no code implementations28 Jul 2020 Yu Fu, Mohammad Dehghani Soltani, Hamada Alshaer, Cheng-Xiang Wang, Majid Safari, Stephen McLaughlin, Harald Haas

This paper proposes an end-to-end (e2e) power consumption model and studies the energy efficiency for a heterogeneous B5G cellular architecture that separates the indoor and outdoor communication scenarios in ultra dense networks.

Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences

no code implementations20 Apr 2020 Quentin Legros, Julian Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies

In this work, we consider a new similarity measure for robust depth estimation, which allows us to use a simple observation model and a non-iterative estimation procedure while being robust to mis-specification of the background illumination model.

3D Reconstruction Depth Estimation

Seeing Around Corners with Edge-Resolved Transient Imaging

no code implementations17 Feb 2020 Joshua Rapp, Charles Saunders, Julián Tachella, John Murray-Bruce, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Robin M. A. Dawson, Franco N. C. Wong, Vivek K Goyal

Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in search and rescue, reconnaissance, and even medical imaging.

Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams

1 code implementation13 Mar 2019 Qianru Zhou, Stephen McLaughlin, Alasdair J. G. Gray, Shangbin Wu, Cheng-Xiang Wang

In this paper a methodology is illustrated to detect such incidents immediately (with the delay in the order of milliseconds), by processing semantically annotated streams of data in cellular telecommunication systems.

Computers and Society Networking and Internet Architecture

Patch-Based Sparse Representation For Bacterial Detection

no code implementations29 Oct 2018 Ahmed Karam Eldaly, Yoann Altmann, Ahsan Akram, Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin

In this paper, we propose an unsupervised approach for bacterial detection in optical endomicroscopy images.

Image computing for fibre-bundle endomicroscopy: A review

no code implementations3 Sep 2018 Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin, Tom Vercauteren

Endomicroscopy is an emerging imaging modality, that facilitates the acquisition of in vivo, in situ optical biopsies, assisting diagnostic and potentially therapeutic interventions.

Image Reconstruction

Nonlinear unmixing of hyperspectral images: models and algorithms

no code implementations6 Apr 2013 Nicolas Dobigeon, Jean-Yves Tourneret, Cédric Richard, José C. M. Bermudez, Stephen McLaughlin, Alfred O. Hero

When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM).

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