Handling negative patterns for fast single-pixel lifetime imaging

Antonio Lorente Mur 1 Marien Ochoa 2 Jérémy Cohen 3 Xavier Intes 2 Nicolas Ducros 1
1 Imagerie Tomographique et Radiothérapie
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
3 PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio
Inria Rennes – Bretagne Atlantique , IRISA_D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
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.
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Antonio Lorente Mur, Marien Ochoa, Jérémy Cohen, Xavier Intes, Nicolas Ducros. Handling negative patterns for fast single-pixel lifetime imaging. 2019 - Molecular-Guided Surgery: Molecules, Devices, and Applications V, Feb 2019, San Francisco, United States. pp.1-10, ⟨10.1117/12.2511123⟩. ⟨hal-02017598v2⟩

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