Abstract
To solve the problem of information loss in multispectral image color reproduction, a new algorithm for reconstructing spectral reflectance is proposed. Based on the traditional matrix R theory, the improved method is obtained by combing ICA and smoothing pseudo-inverse method. We choose the standard color target Color Checker 24 and IT8.7/4 as training and test samples respectively and design the reconstruction experiment. By calculating the spectrum and chromaticity accuracy of ICA, the traditional matrix R and the proposed method, the effect of the new algorithm is verified. The results show that the improved method’s spectrum error and chromaticity error of the training and test color samples are significantly lower than the other two methods. That is, the proposed method improves the spectral information loss of the reconstructed spectrum in the spectral image acquisition system of the multichannel digital camera. It has important significance for solving the problem of mesmerism, and realizing the true color reproduction of the object in the changing observation environment.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China (Grant No. 61605012), the Science and Technology Project of Beijing Institute of Graphic Communication (Grant No. Ea201808, Ec201805).
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Hu, X. et al. (2020). Improved Spectral Reflectance Reconstruction Algorithm Based on Matrix R Method. In: Zhao, P., Ye, Z., Xu, M., Yang, L. (eds) Advanced Graphic Communication, Printing and Packaging Technology. Lecture Notes in Electrical Engineering, vol 600. Springer, Singapore. https://doi.org/10.1007/978-981-15-1864-5_5
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DOI: https://doi.org/10.1007/978-981-15-1864-5_5
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