Abstract
This study introduces a computationally efficient framework to measure the difference between two reflectance spectra in terms of how an arbitrary RGB camera can distinguish between them under an arbitrary light source. Given one set of selected illuminants and one of selected camera models (red, green and blue sensors’ spectral responses), results indicate that both sets can be reduced in order to alleviate the computational load of the task while losing little accuracy in measurements.
This work was supported by the Research Council of Norway.
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Notes
- 1.
Note that this framework stands for cameras with any number of channels.
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Le Moan, S. (2016). Quality Assessment of Spectral Reproductions: The Camera’s Perspective. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_16
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DOI: https://doi.org/10.1007/978-3-319-41501-7_16
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