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Spatial Models of Color for Digital Color Restoration

Spatial Models of Color for Digital Color Restoration

Alessandro Rizzi, Barbara Rita Barricelli, Cristian Bonanomi, Alice Plutino, Matteo Paolo Lanaro
Copyright: © 2019 |Pages: 19
ISBN13: 9781522575559|ISBN10: 1522575553|ISBN13 Softcover: 9781522587194|EISBN13: 9781522575566
DOI: 10.4018/978-1-5225-7555-9.ch015
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MLA

Rizzi, Alessandro, et al. "Spatial Models of Color for Digital Color Restoration." Conservation, Restoration, and Analysis of Architectural and Archaeological Heritage, edited by Carlo Inglese and Alfonso Ippolito, IGI Global, 2019, pp. 386-404. https://doi.org/10.4018/978-1-5225-7555-9.ch015

APA

Rizzi, A., Barricelli, B. R., Bonanomi, C., Plutino, A., & Lanaro, M. P. (2019). Spatial Models of Color for Digital Color Restoration. In C. Inglese & A. Ippolito (Eds.), Conservation, Restoration, and Analysis of Architectural and Archaeological Heritage (pp. 386-404). IGI Global. https://doi.org/10.4018/978-1-5225-7555-9.ch015

Chicago

Rizzi, Alessandro, et al. "Spatial Models of Color for Digital Color Restoration." In Conservation, Restoration, and Analysis of Architectural and Archaeological Heritage, edited by Carlo Inglese and Alfonso Ippolito, 386-404. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7555-9.ch015

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Abstract

This chapter presents an approach to unsupervised digital movie restoration. The approach is based on the idea of recovering the appearance of color instead of the original color signal. The rationale behind this choice is that very often the original color reference is missing in old films, and new films or digital coding can be subject to important gamut transformations. The authors apply algorithms that are designed to reflect the capabilities of the human vision system in automatically adjusting color and lightness variation in the scene.

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