Abstract
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.
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Castro, P., Pinto, J.R.C. (2007). Methods for Written Ancient Music Restoration. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_106
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DOI: https://doi.org/10.1007/978-3-540-74260-9_106
Publisher Name: Springer, Berlin, Heidelberg
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