Methods for written ancient music restoration

  • Authors:
  • Pedro Castro;J. R. Caldas Pinto

  • Affiliations:
  • IDMEC/IST, Technical University of Lisbon, Lisboa, Portugal;IDMEC/IST, Technical University of Lisbon, Lisboa, Portugal

  • Venue:
  • ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

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.