Hyperspectral image reconstruction by deep learning with super-Rayleigh speckles [PDF]
arXivGhost imaging via sparsity constraints (GISC) spectral camera modulates the three-dimensional (3D) hyperspectral image into a two-dimensional (2D) compressive image with speckles in a single shot. It obtains a 3D hyperspectral image (HSI) by reconstruction algorithms.
arxiv
First performance of hybrid spectra CT reconstruction: a general Spectrum-Model-Aided Reconstruction Technique (SMART) [PDF]
arXivHybrid spectral CT integrates energy integrating detectors (EID) and photon counting detectors (PCD) into a single system, combining the large field-of-view advantage of EID with the high energy and spatial resolution of PCD. This represents a new research direction in spectral CT imaging.
arxiv
Image reconstruction for a configurable hyperspectral imager [PDF]
, 2020 A hyperspectral (HS) image of a scene corresponds to a cube of data with two spatial and one spectral dimension : it can be seen as a large number of images of the scene in different spectral bands or as a set of spectra at each spatial position. A central problem with hyperspectral imaging is related to the three-dimensional nature of the data that ...
openaire +2 more sources
An MRI assessment of mechanisms underlying lesion growth and shrinkage in multiple sclerosis
Annals of Clinical and Translational Neurology, EarlyView.By applying the tensor model, we analysed lesion orientation and the directionality of lesion expansion/contraction in multiple sclerosis. Each lesion is summarized as an ellipsoid, and the tensor model is applied to calculate lesion anisotropy. From the top to the bottom white matter atlas, surface‐in gradient segmentation and venous atlas used in the
Ermelinda De Meo +9 more
wiley +1 more source
Bayesian image reconstruction - The pixon and optimal image modeling [PDF]
, 1993 R. K. Piña, R. C. Puetter
openalex +1 more source
Annals of Clinical and Translational Neurology, EarlyView.Abstract Objective Exploring the prevalence and association between intracranial atherosclerosis (ICAS) and cerebral small vessel diseases (CSVD), this study delved beyond the current scope, utilising high‐resolution vessel wall MRI (HRVW‐MRI) to investigate how subtle changes in intracranial atherosclerotic features influence the various burdens of ...
Joseph Amihere Ackah +6 more
wiley +1 more source
Secure Image Reconstruction using Deep Learning-based Autoencoder with Integrated Encryption Layers
Wasit Journal of Computer and Mathematics ScienceThis study presents an autoencoder model designed for secure image reconstruction through the integration of encryption and decryption layers within its framework.
Wurood Abd Ali
doaj +1 more source
Dual‐Phase C‐11 PiB PET Images for Detecting Tau Pathology in Cerebral Amyloid Angiopathy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cerebral amyloid angiopathy (CAA) is a major cause of lobar intracerebral hemorrhage and cognitive dysfunction in the elderly, and frequently coexists with Alzheimer's disease and tau pathology. Dual‐phase 11C‐PiB PET detects amyloid deposition and cerebral perfusion changes and may have diagnostic value for identifying tau in CAA ...
Meng‐Ting Chiang +4 more
wiley +1 more source
Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging [PDF]
arXivThe reconstruction of high dynamic range (HDR) images from multi-exposure low dynamic range (LDR) images in dynamic scenes presents significant challenges, especially in preserving and restoring information in oversaturated regions and avoiding ghosting artifacts. While current methods often struggle to address these challenges, our work aims to bridge
arxiv