Spectral Reflectance Reconstruction Based on Camera Raw RGB Using Weighted Third-Order Polynomial and Wiener Estimation

Fu-hao LI; Chang-jun LI

doi:10.3964/j.issn.1000-0593(2021)10-3281-05

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 10 >Page 3281 > Article

Spectroscopy and Spectral Analysis
Vol. 41, Issue 10, 3281 (2021)

Spectral Reflectance Reconstruction Based on Camera Raw RGB Using Weighted Third-Order Polynomial and Wiener Estimation

Fu-hao LI^* and Chang-jun LI^*;

Author Affiliations

School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan 114051, China

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DOI: 10.3964/j.issn.1000-0593(2021)10-3281-05 Cite this Article

Fu-hao LI, Chang-jun LI. Spectral Reflectance Reconstruction Based on Camera Raw RGB Using Weighted Third-Order Polynomial and Wiener Estimation[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3281 Copy Citation Text

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Performance comparison of RMSE and ΔE00 between Zhang’s method and our method using Color Checker Classic Chart

Fig. 1. Performance comparison of RMSE and ΔE₀₀ between Zhang’s method and our method using Color Checker Classic Chart

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Performance comparison of average RMSE error and colour difference ΔE00 between the method proposed in this paper and Zhang’s method using 44 printed samples

Fig. 2. Performance comparison of average RMSE error and colour difference ΔE₀₀ between the method proposed in this paper and Zhang’s method using 44 printed samples

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测试样本	方法	RMSE			ΔE₀₀
测试样本	方法	Ave	Max	Median	Ave	Max	Median
24色色卡	Zhang方法	0.028 0	0.064 1	0.024 6	1.379 4	3.030 9	1.226 7
24色色卡	本方法	0.019 0	0.041 4	0.017 4	1.329 3	2.594 1	1.304 5
印刷样品	Zhang方法	0.092 9	0.421 8	0.083 0	4.699 6	11.610 3	4.445 3
印刷样品	本方法	0.087 2	0.326 7	0.081 4	4.579 6	11.830 9	4.375 0

Table 1. Performance of the proposed and Zhang methods tested using Color Checker Classic Chart and self-made 44 printed samples under 6 illuminants

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