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.

Spatial Models of Color for Digital Color Restoration / A. Rizzi, B.R. Barricelli, C. Bonanomi, A. Plutino, M.P. Lanaro - In: Conservation, Restoration, and Analysis of Architectural and Archaeological Heritage / [a cura di] C. Inglese, A. Ippolito. - [s.l] : IGI Global, 2019. - ISBN 9781522575559. - pp. 386-404 [10.4018/978-1-5225-7555-9.ch015]

Spatial Models of Color for Digital Color Restoration

A. Rizzi;B.R. Barricelli
;
C. Bonanomi;A. Plutino;M.P. Lanaro
2019

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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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/615791
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