Multi-spectral imaging and spectral reﬂectance reconstruction can be used in cultural-heritage institutes to digitalize their collections for documentation purposes. It can be used to simulate artwork under any lighting condition, and to analyze colorants that were used. The basic idea of a multi-spectral imaging system is to sub-sample spectral reﬂectance factor, producing results similar to a spectrophotometer. The sampled data are used to reconstruct reﬂectance for the visible spectrum.
In this thesis, a wide band multispectral camera was designed and constructed to achieve high spectral and color accuracy as well as high image quality.
Noise propagation theory was introduced and tested. A seven channel band- pass ﬁlter set was modeled using Gaussian functions and optimized to yield high spectral and colorimetric reproduction accuracy as well as low colori- metric noise. Single and "sandwich" ﬁlters were selected from o!-the-shelf absorption ﬁlters using the Gaussian bandpass ﬁlter model. Experiments were conducted to test the spectral, color and noise performance of the novel sandwich ﬁlters and compared with interference ﬁlters. The novel sandwich ﬁl- ters led to increased colorimetric accuracy along with a reduction colorimetric noise.
This imaging system will be used as part of a recommended workﬂow for museum archiving, and will be an important addition to the spectral imaging capabilities at MCSL.
Library of Congress Subject Headings
Multispectral imaging--Equipment and supplies; Colorimetry; Cameras--Design and construction
Color Science (MS)
Roy S. Berns
Mark D. Fairchild
Wang, Yixuan, "Design and Construction of a Multispectral Camera for Spectral and Colorimetric Reproduction" (2016). Thesis. Rochester Institute of Technology. Accessed from
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