A Computational Model of Human Colour Vision for Film Restoration

Author:

Plutino Alice1ORCID,Sarti Beatrice2ORCID,Armellin Luca3ORCID,Rizzi Alessandro4ORCID

Affiliation:

1. (Phd, Università degli Studi di Milano, 2021) is Postdoctoral Fellow at Università degli Studi di Milano .

2. Ph.D. student at the University of Milano ( Italy ) at the Department of Computer Science, and holds a master’s degree in Cultural Heritage Conservation Science .

3. master’s degree student in Computer Science at the University of Milano ( Italy )

4. Department of Computer Science , Università degli Studi di Milano , Via Celoria, 18 Milano , Italy .

Abstract

Abstract Even today, film restoration (both photographic and cinematographic) is a challenge, because it involves multidisciplinary competences: from analogue film inspection and conservation to digitisation and image enhancement. In this context, thanks to the high manageability of digital files, the film restoration workflow often follows a digitisation step, which presents many approximations and issues that are often ignored. In this work, we propose an alternative approach to the issues commonly encountered in film restoration (mainly concerning colour and contrast restoration) aiming at restoring the original colour appearance, through models of human colour perception.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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