Presentation + Paper
7 March 2019 Handling negative patterns for fast single-pixel lifetime imaging
Author Affiliations +
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.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antonio Lorente Mur, Marien Ochoa, Jérémy E. Cohen, Xavier Intes, and Nicolas Ducros "Handling negative patterns for fast single-pixel lifetime imaging", Proc. SPIE 10862, Molecular-Guided Surgery: Molecules, Devices, and Applications V, 108620A (7 March 2019); https://doi.org/10.1117/12.2511123
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Spatial light modulators

Image compression

Matrices

Cameras

Sensors

Wavelets

Reconstruction algorithms

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