Work

Handling negative patterns for fast single-pixel lifetime imaging

Year: 2019

Type: conference-paper

Abstract: Pattern generalization was proposed recently as an avenue to increase the acquisition speed of single-pixel imaging setups. This approach consists of designing some positive patterns that reproduce the target patterns with negative values through linear combinations. This avoids the typical burden of acquiring the positive and negative parts of each of the target patterns, which doubles the acquisition time. In this study, we consider the generalization of the Daubechies wavelet patterns and compare images reconstructed using our approach and using the regular splitting approach. Overall, the reduction in the number of illumination patterns should facilitate the implementation of compressive hyperspectral lifetime imaging for fluorescence-guided surgery.

DOI: 10.1117/12.2511123

Authors: Antonio Lorente Mur, Marien Ochoa, Jeremy Cohen, Xavier Intes, Nicolas Ducros

Institutions: Lyon 1 Université, Centre National de la Recherche Scientifique, Institut National des Sciences Appliquées de Lyon, Rensselaer Polytechnic Institute, Université de Rennes

Language: English

Topic: Random lasers and scattering media

Subfield: Acoustics and Ultrasonics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: Agence Nationale de la Recherche

Awards: Physique, Radiobiologie, Imagerie Médicale et Simulation, PROJET AVENIR LYON SAINT-ETIENNE, Fast Single-Pixel Biomedical Imaging

OpenAlex ID: W2921974575

FWCI: 12.18

Cites: 20

Cited by: 10

Related to: 10