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The Visual Computer

, Volume 34, Issue 12, pp 1773–1783 | Cite as

Efficient spectral reconstruction using a trichromatic camera via sample optimization

  • Yuqi LiEmail author
  • Chong Wang
  • Jieyu Zhao
  • Qingshu Yuan
Original Article

Abstract

Training-based multispectral reconstruction can effectively recover spectral reflectance of captured objects using a trichromatic camera. However, existing methods are based on synthesized data, and the sizes of training sample set (e.g., multispectral images, reflectance targets) are usually large. In this paper, we present a spectral reconstruction approach using real measured data. To improve the efficiency and accuracy of spectral reconstruction, we propose a volume maximization method for sample optimization without any prior knowledge of light and cameras. We use heuristic global search algorithms to optimize samples and give an efficient spectral reconstruction method which is suitable for sparse sampling. Experimental results show that the proposed sample selection method outperforms other existing methods in terms of both spectral and colorimetric reconstruction errors. Moreover, the proposed reconstruction method achieves higher efficiency and accuracy due to lower sample redundancy.

Keywords

Spectral reconstruction Sample optimization Multispectral images 

Notes

Acknowledgements

The work in this paper has been supported by the National Natural Science Foundation of China (Grant Nos. 61602268, 61603202, 61571247), the National Natural Science Foundation of Zhejiang Province (Nos. LY13F020050, LZ16F030001), and the K.C.Wong Magna Fund in Ningbo University.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Yuqi Li
    • 1
    • 2
    Email author
  • Chong Wang
    • 1
  • Jieyu Zhao
    • 1
  • Qingshu Yuan
    • 3
  1. 1.College of Information Science and EngineeringNingbo UniversityNingboChina
  2. 2.College of Computer Science and TechnologyZhejiang UniversityNingboChina
  3. 3.Hangzhou Institute of Service EngineeringHangzhou Normal UniversityHangzhouChina

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