Abstract
Hyperspectral imaging provides spectral information for every pixel in an image, though the data is less reliable for low levels of illuminance. Merging hyperspectral imaging with High Dynamic Range (HDR) imaging can improve the loss of accuracy in low-lit environments by compensating for dark pixels with high exposure values. A study involving a light-booth with a maximum of 135 cd/m\(^2\) shows a significant improvement in spectral and photometric accuracy of the spectral data using HDR techniques. The sRGB image quality also improves significantly. The HDR merging method using a mean or median value of valid pixels also significantly improves results as compared to the first correct pixel. The results from this study provide a promising outlook for the use of hyperspectral imaging in poorly lit scenes and should be further investigated.
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References
Bodrogi, P., et al.: Visual assessment of light source color quality. Color Res. Appl. 38(1), 4–13 (2013). ISSN: 0361-2317, 1520-6378. https://doi.org/10.1002/col.20726. https://onlinelibrary.wiley.com/doi/10.1002/col.20726. Accessed 14 May 2024
Kuang, J., Johnson, G.M., Fairchild, M.D.: iCAM06: a refined image appearance model for HDR image rendering. J. Vis. Commun. Image Representation 18(5), 406–414 (2007). ISSN: 1047-3203. https://doi.org/10.1016/j.jvcir.2007.06.003. https://linkinghub.elsevier.com/retrieve/pii/S1047320307000533. Accessed 29 Mar 2023
Martínez, M.Á., et al.: Multifocus HDR VIS/NIR hyperspectral imaging and its application to works of art. Opt. Express 27(8), 11323 (2019). ISSN: 1094-4087. https://doi.org/10.1364/OE.27.011323. https://opg.optica.org/abstract.cfm?URI=oe-27-8-11323. Accessed 10 May 2024
Mittal, A., Moorthy, A.K., Bovik, A.C.: No-reference image quality assessment in the spatial domain. IEEE Trans. Image Process. 21(12), 4695–4708 (2012). ISSN: 1057-7149, 1941-0042. https://doi.org/10.1109/TIP.2012.2214050. http://ieeexplore.ieee.org/document/6272356/. Accessed 21 Feb 2022
Raza, A., et al.: Accuracy of hyperspectral imaging systems for color and lighting research. Leukos 19(1), 16–34 (2023). ISSN: 1550-2724, 1550-2716. https://doi.org/10.1080/15502724.2022.2067866. https://www.tandfonline.com/doi/full/10.1080/15502724.2022.2067866. Accessed 14 Mar 2024
Raza, A., et al.: Simplified hyperspectral camera calibration for accurate radiometric measurements. In: Proceedings of the 29th Quadrennial Session of the CIE, pp. 636–646. International Commission on Illumination, CIE, Washington DC (2019). ISBN: 978-3-902842-74-9. https://doi.org/10.25039/x46.2019.OP92. http://files.cie.co.at/x046_2019/x046-OP92.pdf. Accessed 14 Mar 2024
Smet, K.A.G., et al.: A memory colour quality metric for white light sources. Energy Build. 49, 216–225 (2012). ISSN: 0378-7788. https://doi.org/10.1016/j.enbuild.2012.02.008. https://linkinghub.elsevier.com/retrieve/pii/S0378778812000837. Accessed 14 May 2024
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Raza, A., Jost, S., Dumortier, D. (2025). Low Light Hyperspectral Imaging Using HDR Methods. In: Schettini, R., Trémeau, A., Tominaga, S., Bianco, S., Buzzelli, M. (eds) Computational Color Imaging. CCIW 2024. Lecture Notes in Computer Science, vol 15193. Springer, Cham. https://doi.org/10.1007/978-3-031-72845-7_8
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