Illumination Spectrum Estimation Method Based on Single Multispectral Image

Yang Lu; Haisong Xu

doi:10.3788/AOS202242.0733001

Acta Optica Sinica, Volume. 42, Issue 7, 0733001(2022)

Illumination Spectrum Estimation Method Based on Single Multispectral Image

Yang Lu and Haisong Xu^*

State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China

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Figures & Tables(10)

Fig. 1. Flow chart of illumination spectrum estimation method for multispectral images

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Fig. 2. 8-channel spectral sensitivity function of multispectral imaging system

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Fig. 3. Color images of partial scenes in CAVE database

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Fig. 4. 8-channel multispectral images of oil painting

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Fig. 5. Spectral estimation results of two challenging illuminants. (a) Illuminant 1; (b) illuminant 2

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Fig. 6. Spectral estimation results of three typical illuminants. (a) Illuminant A; (b) illuminant D65; (c) illuminant LED

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Fig. 7. Ink painting used in experiment

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Fig. 8. Illumination spectrum estimation results based on real test platform

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Table 1. Performance comparison of different light source estimation methods based on simulated data
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Table 1. Performance comparison of different light source estimation methods based on simulated data
Method Mean Median Best 25% Worst 25% SD
WP 1.22 1.28 0.56 1.80 0.49
GW 5.93 6.04 5.12 6.50 0.71
GE 2.36 2.41 2.18 2.69 0.43
SoG 2.52 2.58 1.94 3.00 0.47
EW 1.43 1.47 0.82 1.99 0.46
ICS 3.64 4.12 3.03 5.17 0.62
Proposed 0.29 0.06 0.02 0.37 0.44

Table 2. Performance comparison of different light source estimation methods based on real data

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Table 2. Performance comparison of different light source estimation methods based on real data

Method	Mean	Median	Best 25%	Worst 25%	SD
WP	6.49	3.37	1.49	16.44	6.72
GW	16.70	16.04	5.66	29.94	9.42
GE	8.52	7.21	2.18	17.57	6.22
SoG	11.74	9.30	2.66	23.29	8.20
EW	12.85	8.10	3.91	25.80	8.93
ICS	13.67	9.3	4.22	24.64	8.05
Proposed	3.42	0.13	0.09	11.62	5.41

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Yang Lu, Haisong Xu. Illumination Spectrum Estimation Method Based on Single Multispectral Image[J]. Acta Optica Sinica, 2022, 42(7): 0733001

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Paper Information

Category: Vision, Color, and Visual Optics

Received: Aug. 27, 2021

Accepted: Oct. 25, 2021

Published Online: Mar. 28, 2022

The Author Email: Xu Haisong (chsxu@zju.edu.cn)

DOI:10.3788/AOS202242.0733001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Performance comparison of different light source estimation methods based on simulated data

Table 1. Performance comparison of different light source estimation methods based on simulated data

Table 2. Performance comparison of different light source estimation methods based on real data

Table 2. Performance comparison of different light source estimation methods based on real data