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Abstract

Many old paintings suffer from the effects of certain physicochemical phenomena, that can seriously degrade their overall visual appearance.Digital image processing techniques can be utilized for the purpose of restoring the original appearance of a painting, with minimal physical interaction with the painting surface. In this paper, a number of methods are presented which can yield satisfactory results. Indeed, simulation results indicate that acceptable restoration performance may be attained, despite the small size of painting surface data utilized.

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References

  1. G. M. Cortelazzo, G. L. Geremia, and G. A. Mian, “Some results about Wiener-Volterra restoration of the original colour quality in old painting imagery,” in Proc. 1995 IEEE Workshop Nonlinear Signal Image Processing (NSIP’95), vol. I, pp. 86–89, Neos Marmaras, Greece, June 1995.

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© 1998 Springer-Verlag London Limited

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Pappas, M., Pitas, I. (1998). Old painting digital color restoration. In: Marshall, S., Harvey, N.R., Shah, D. (eds) Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer, London. https://doi.org/10.1007/978-1-4471-1597-7_30

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  • DOI: https://doi.org/10.1007/978-1-4471-1597-7_30

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76258-4

  • Online ISBN: 978-1-4471-1597-7

  • eBook Packages: Springer Book Archive

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