Spectral Reconstruction Method Based on Imaging Condition Correction

LIANG Jin-xing, LI Chan

Packaging Engineering ›› 2021 ›› Issue (23) : 155-161.

PDF(33079 KB)
PDF(33079 KB)
Packaging Engineering ›› 2021 ›› Issue (23) : 155-161. DOI: 10.19554/j.cnki.1001-3563.2021.23.022

Spectral Reconstruction Method Based on Imaging Condition Correction

  • LIANG Jin-xing1, LI Chan2
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Abstract

The work aims to propose a spectral reconstruction method based on imaging condition correction to realize the spectral reconstruction application of digital cameras in open environments. The reference whiteboard was used as the medium of imaging condition correction. The spectral reconstruction matrix was firstly established under the reference imaging conditions. Then the digital image of the measurement target was calibrated from the open environment to the reference imaging conditions. Finally, the spectral of the measurement target was re-constructed by the established spectral reconstruction matrix. The proposed method was verified through simulation imaging system, some common light source in open environment and three groups of sample sets. Experiment showed that the overall average spectral error and color difference of the three sample sets were 2.42 and 2.73, respectively. The spectral reconstruction method based on imaging condition correction shows good spectral reconstruction accuracy and proves the theoretical effectiveness of the method.

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LIANG Jin-xing, LI Chan. Spectral Reconstruction Method Based on Imaging Condition Correction[J]. Packaging Engineering. 2021(23): 155-161 https://doi.org/10.19554/j.cnki.1001-3563.2021.23.022
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