5 papers
Bayesian Multifractal Image Segmentation
Kareth M. León-López, Abderrahim Halimi, Jean-Yves Tourneret +1
Multifractal analysis (MFA) provides a framework for the global characterization of image textures by describing the spatial fluctuations of their local regularity based on the mul…
Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging
Kyungmin Choi, JaKeoung Koo, Stephen McLaughlin +1
Single-photon Lidar imaging offers a significant advantage in 3D imaging due to its high resolution and long-range capabilities, however it is challenging to apply in noisy environ…
DTU-Net: A Multi-Scale Dilated Transformer Network for Nonlinear Hyperspectral Unmixing
ChenTong Wang, Jincheng Gao, Fei Zhu +2
Transformers have shown significant success in hyperspectral unmixing (HU). However, challenges remain. While multi-scale and long-range spatial correlations are essential in unmix…
A multiscale Bayesian approach to quantification and denoising of energy-dispersive x-ray data
Pau Torruella, Abderrahim Halimi, Ludovica Tovaglieri +3
Energy dispersive X-ray (EDX) spectrum imaging yields compositional information with a spatial resolution down to the atomic level. However, experimental limitations often produce…
A Plug-and-Play Algorithm for 3D Video Super-Resolution of Single-Photon LiDAR data
Alice Ruget, Lewis Wilson, Jonathan Leach +5
Single-photon avalanche diodes (SPADs) are advanced sensors capable of detecting individual photons and recording their arrival times with picosecond resolution using time-correlat…