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

Spectroscopy and Spectral Analysis, Volume. 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^*;

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

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

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

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

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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

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Paper Information

Category: Research Articles

Received: Oct. 12, 2020

Accepted: --

Published Online: Oct. 29, 2021

The Author Email: LI Fu-hao (1783951755@qq.com)

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

Topics

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