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Methods for Written Ancient Music Restoration

机译:书面古代音乐恢复方法

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摘要

Degradation in old documents has been a matter of concern for a long time. With the easy access to information provided by technologies such as the Internet, new ways have arisen for consulting those documents without exposing them to yet more dangers of degradation. While restoration methods are present in the literature in relation to text documents and artworks, little attention has been given to the restoration of ancient music. This paper describes and compares different methods to restore images of ancient music documents degraded over time. Six different methods were tested, including global and adaptive thresholding, color clustering and edge detection. In this paper we conclude that those based on the Sauvola's thresholding algorithm are the better suited for our proposed goal of ancient music restoration.
机译:长期以来,旧文件的降级一直是一个令人关注的问题。由于可以轻松访问Internet等技术提供的信息,因此出现了新的方式来查阅这些文档,而又不会使它们面临更多的降级危险。尽管文献中存在与文本文件和艺术品有关的恢复方法,但很少有人关注古代音乐的恢复。本文介绍并比较了不同的方法来恢复随时间推移而退化的古代音乐文档的图像。测试了六种不同的方法,包括全局阈值和自适应阈值,颜色聚类和边缘检测。在本文中,我们得出结论,基于Sauvola阈值算法的算法更适合于我们提出的古代音乐恢复的目标。

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