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Found 20 papers, 3 papers with code
Bayesian Based Unrolling for Reconstruction and Super-resolution of Single-Photon Lidar Systems
Deploying 3D single-photon Lidar imaging in real world applications faces several challenges due to imaging in high noise environments and with sensors having limited resolution.
3D Target Detection and Spectral Classification for Single-photon LiDAR Data
3D single-photon LiDAR imaging has an important role in many applications.
Robust real-time imaging through flexible multimode fibers
Furthermore, speckle patterns change as the fiber undergoes bending, making the use of MMFs in flexible imaging applications even more complicated.
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems
Deploying 3D single-photon Lidar imaging in real world applications faces multiple challenges including imaging in high noise environments.
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation
This paper presents a scalable approximate Bayesian method for image restoration using total variation (TV) priors.
Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data
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.
SeaNet -- Towards A Knowledge Graph Based Autonomic Management of Software Defined Networks
Driven by the ToCo ontology, SeaNet is reprogrammed based on Mininet (a SDN emulator).
Patch-Based Image Restoration using Expectation Propagation
This paper presents a new Expectation Propagation (EP) framework for image restoration using patch-based prior distributions.
Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging
3D Lidar imaging can be a challenging modality when using multiple wavelengths, or when imaging in high noise environments (e. g., imaging through obscurants).
Robust super-resolution depth imaging via a multi-feature fusion deep network
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.
BER Performance of Spatial Modulation Systems Under a Non-Stationary Massive MIMO Channel Model
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
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
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.
Seeing Around Corners with Edge-Resolved Transient Imaging
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.
Spectrum-Energy-Economy Efficiency Trade-off of Wireless Communication Systems with Separated Indoor/Outdoor Scenarios for 5G and B5G
In this paper, we consider a heterogeneous 5G cellular architecture that separates the outdoor and indoor scenarios and in particular study the trade-off between the spectrum efficiency (SE), energy efficiency (EE), economy efficiency (ECE).
Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams
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
In this paper, we propose an unsupervised approach for bacterial detection in optical endomicroscopy images.
Image computing for fibre-bundle endomicroscopy: A review
Endomicroscopy is an emerging imaging modality, that facilitates the acquisition of in vivo, in situ optical biopsies, assisting diagnostic and potentially therapeutic interventions.
Deconvolution and Restoration of Optical Endomicroscopy Images
In this work, we address the problem of deconvolution and restoration of OEM data.
Nonlinear unmixing of hyperspectral images: models and algorithms
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).
