Geometry-driven spectral encoding by maximizing distinguishability in encoding space

Abstract Computational spectral imaging overcomes the trade-off between spectral resolution and light throughput, but its performance still remains fundamentally limited by the geometric separability of spectral signatures in the encoding space. Current encoder designs predominantly focus on minimiz...

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Κύριοι συγγραφείς:	Chenning Tao, Zhiyong Zhou, Huanzheng Zhu, Lianwei Huang, Haoyi Zhao, Yusheng Zhang, Daru Chen, Min Qiu, Qiang Li
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	SpringerOpen 2026-07-01
Σειρά:	PhotoniX
Θέματα:	Computational imaging Spectral imaging Spectral encoding Inverse design Euclidean distance optimization
Διαθέσιμο Online:	https://doi.org/10.1186/s43074-026-00272-0
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