Abstract
If an actual artwork is photographed with a camera and rendered through a display for observation, the color expression changes three times when photographed with a camera, displayed, and observed again. This paper introduces a color correction method that makes the actual artwork and the displayed artwork look the same. This correction method performs color correction by understanding the lighting environment where the artwork is located and the color sensitivity of the observer. The proposed color correction method is a two-step process, using hyperspectral imaging and color mapping of display device. Hyperspectral imaging is a method that can acquire each pixel of an artwork as a reflection spectrum, and can be used for re-illumination on a spectral level. Color mapping performs mapping between the digital values of 343 color samples and the captured values of the displayed color samples. These two steps of color correction provide an experience in which the actual artwork and the displayed artwork look the same. The method proposed in this paper is expected to contribute to a more realistic virtual experience.
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Acknowledgement
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A4A1029800).
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Sim, K., Park, JI., Hayashi, M., Kuwahara, M. (2022). Artwork Reproduction Through Display Based on Hyperspectral Imaging. In: Rauterberg, M. (eds) Culture and Computing. HCII 2022. Lecture Notes in Computer Science, vol 13324. Springer, Cham. https://doi.org/10.1007/978-3-031-05434-1_22
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DOI: https://doi.org/10.1007/978-3-031-05434-1_22
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