Abstract
We describe in detail a method for calibrating a multispectral imaging system based on interference filters. The calibration aims to remove systematic noises introduced by the sensor, and optic and/or filters from multispectral images. After which, we can correct the non-linearity of the sensor response. Systematic noises are measured through a rigorous protocol for acquiring offset, and thermal, and Flat-Field images. The methods for acquiring Flat-Field image, and linearizing sensor response are novel and particularly efficient in the case of a multispectral imaging system. Indeed, in such a system, the reconstruction of a spectrum for each pixel comes from the set of values taken by this pixel along the sequence of channel-images. This is an inverse problem requiring data of high accuracy, that is why the system must be well-calibrated.
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© 2006 Springer
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Mansouri, A., Sanchez, M., Marzani, F., Gouton, P. (2006). RADIOMETRIC CALIBRATION OF A MULTISPECTRAL CAMERA. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_39
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DOI: https://doi.org/10.1007/1-4020-4179-9_39
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4178-5
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