A Computational Model of Human Colour Vision for Film Restoration

A. Plutino, Beatrice Sarti, L. Armellin, A. Rizzi
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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.
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一种用于胶片还原的人类色彩视觉计算模型
即使在今天,胶片修复(包括摄影和电影)也是一个挑战,因为它涉及多学科能力:从模拟胶片检查和保存到数字化和图像增强。在这种情况下,由于数字文件的高可管理性,电影修复工作流程通常遵循数字化步骤,这带来了许多经常被忽视的近似和问题。在这项工作中,我们提出了一种替代方法来解决电影修复中常见的问题(主要是关于色彩和对比度恢复),旨在通过人类色彩感知模型恢复原始色彩外观。
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