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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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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:旧文件的退化是一个很长一段时间的问题。随着通过互联网等技术提供的信息,可以通过将这些文件进行咨询,而不会将其咨询到更大的退化危险。虽然有关文本文件和艺术品的文献中存在恢复方法,但对古代音乐的恢复已经很少注意。本文介绍并比较了不同方法恢复古代音乐文件的图像随着时间的推移而劣化。测试了六种不同的方法,包括全局和自适应阈值处理,颜色聚类和边缘检测。在本文中,我们得出结论,基于Sauvola的门槛算法的人更适合我们古代音乐恢复的拟议目标。

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