A spectral image reconstruction method and system based on basis vector combination coefficient estimation

CN115965573BActive Publication Date: 2026-05-29FUDAN UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
FUDAN UNIVERSITY
Filing Date
2022-05-18
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing spectral imaging technologies are time-consuming and unsuitable for reconstructive spectral imaging in dynamic scenes, and their reconstruction accuracy is insufficient to meet the needs of practical applications.

Method used

A method based on basis vector combination coefficient estimation is adopted. The camera response value is obtained through a single exposure. The spectral reflectance is further calculated and the spectral image is reconstructed by utilizing the mapping relationship between the camera response value and the basis vector combination coefficient.

Benefits of technology

It enables rapid and stable reconstruction of high-precision spectral images in a single exposure, avoiding scanning of mechanical or optical structures and improving reconstruction accuracy and efficiency.

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Abstract

The present application relates to a kind of spectral image reconstruction method and system based on base vector combination coefficient estimation, belong to the spectral imaging technique field in the computing optical imaging.First, the camera response value of the object to be measured in one exposure is obtained, and the camera response value is the multi-channel spectral information of the object to be measured, then the camera response value is used as input, the mapping relationship between camera response value and base vector combination coefficient is used to calculate base vector combination coefficient, finally, base vector combination coefficient is used as input, and the mapping relationship between base vector combination coefficient and spectral reflectivity is used to calculate spectral reflectivity, and the reconstructed spectral image is obtained, so that the corresponding spectral image can be reconstructed by the data obtained by single exposure, with faster detection speed, while using base vector combination coefficient to guide the entire reconstruction process, fully utilize the statistical prior knowledge of spectral data, improve the reconstruction accuracy.
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