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Compressed sensing has emerged as an appealing option for single-shot high-speed imaging. Recent work proposed light field tomography (LIFT) to acquire en-face one-dimension (1-D) projections instead of 2-D images and reformulate as a computed tomography problem. The light field with reduced dimension enables 3D imaging at temporal resolution less than 10 picoseconds. We hereby propose a spectrum encoding method to increase the number of projections in LIFT within a snapshot. We multiply projections by the number of spectral channels for better reconstruction quality while maintaining the high-speed 3-D imaging capability. This mitigates the sparse-view problem in reconstruction.
Zhaoqiang Wang andLiang Gao
"High-speed augmented light field tomography through parallel spectral encoding (Conference Presentation)", Proc. SPIE PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII, PC123900D (16 March 2023); https://doi.org/10.1117/12.2649193
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