一种快照式光谱成像系统及光谱重构方法

CN116754073BActive Publication Date: 2026-07-17XIAN INST OF OPTICS & PRECISION MECHANICS CHINESE ACAD OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAN INST OF OPTICS & PRECISION MECHANICS CHINESE ACAD OF SCI
Filing Date
2023-06-02
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Snapshot-type spectral imaging systems suffer from slow spectral reconstruction speed, weak noise resistance, and low resolution, making it difficult to achieve real-time acquisition and accurate reconstruction.

Method used

Singular value decomposition is used to reduce the L2 regularization optimization algorithm. Combined with multiple filter pixel channels with different micro-nano structures, the spectral reconstruction process is optimized by singular value decomposition, and the reconstruction speed and resolution are improved by using the L2 regularization optimization algorithm.

Benefits of technology

It achieves near real-time spectral reconstruction of snapshot-type spectral imaging system, improves noise resistance and resolution, enhances the advantages of real-time image acquisition, and is suitable for fields such as real-time spectral recognition and obstacle avoidance.

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Abstract

本发明涉及光谱重构系统及光谱重构方法,具体涉及一种快照式光谱成像系统及光谱重构方法,解决了光谱重构速度慢、抗噪能力弱、分辨率低的技术问题。本发明提供的光谱成像系统包括图像采集模块和数据处理模块,图像采集模块采用表面集成了周期性微纳滤光结构的图像传感器的快照式光谱成像芯片,数据处理模块借助奇异值分解缩减L2正则化最优化算法迭代次数,将光谱重构运算时间极大缩短,从而使得快照式光谱成像芯片达到趋近实时图谱重构的效果。本发明提供的光谱重构方法基于正则化与L2正则化最优化过程,在其中加入奇异值分解优化的步骤,以较小的光谱分辨率下降换取重构速度的大幅提高。
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