Abstract
Calligraphy and painting have been highly valued throughout the history of China and recognized as a typical expression of Chinese traditional arts. Calligraphy and painting in China have their pursuits in exterior beauty and a focus of the inner lyrical mood that are stressed collectively. However, due to temperature, humidity and other natural conditions and human factors, calligraphy works and paintings, made on paper, silk or other delicate materials, are rarely kept well. With the development of computer and data acquisition technology using computer image processing to achieve efficient restoration of paintings has great research and application values. This chapter firstly describes the different types of incomplete paintings, and then shows the image segmentation and contour tracing technology areas to be achieved, and finally show how to use the Bertalmio Sapiro Caselles Batlester (BSCB) model, Total Variation (TV) model, and curvature driven diffusions (CDD) to realize the implementation of defective areas.
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© 2012 Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg
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Zhou, M., Geng, G., Wu, Z. (2012). Virtual Restoration Techniques of Calligraphy and Painting. In: Digital Preservation Technology for Cultural Heritage. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28099-3_6
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DOI: https://doi.org/10.1007/978-3-642-28099-3_6
Publisher Name: Springer, Berlin, Heidelberg
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