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

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^*;

Author Affiliations

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

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References(7)

[4] B Cao, H Cheng, N Liao. Color Research & Application, 42, 327(2016).

[5] M Amiri M, D Fairchild M. Color Research & Application, 43, 675(2018).

[6] J Liang, R Pointer M, K Xiao et al. Optics Express, 27, 5165(2019).

[7] Q Wang, X Zhang et al. Color Research & Application, 42, 68(2017).

[12] J Li C, R Luo M, G Wang. Proc. of SPIE, 6033, 198(2006).

[13] J Li C, R Luo M, B Rigg. Color Research & Application, 29, 91(2010).

[14] J Li C, R Luo M, M Melgosa et al. Color Research & Application, 41, 125(2016).

CLP Journals

[1] SUN Bang-yong, YU Meng-ying, YAO Qi. Research on Spectral Reconstruction Method From RGB Imaging Based on Dual Attention Mechanism[J]. Spectroscopy and Spectral Analysis, 2023, 43(9): 2687

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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

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology