Paper
29 February 2008 Color transplant for reverse ageing of faded artworks
A. Del Mastio, A. Piva, M. Barni, V. Cappellini, L. Stefanini
Author Affiliations +
Proceedings Volume 6810, Computer Image Analysis in the Study of Art; 681006 (2008) https://doi.org/10.1117/12.765680
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
Nowadays, photographs are one of the most used media for communication. Images are used for the representation of documents, Cultural goods, and so on: they are used to pass on a wedge of historical memory of the society. Since its origin, the photographic technique has got several improvements; nevertheless, photos are liable to several damages, both concerning the physical support and concerning the colors and figures which are depicted in it: for example, think about scratches or rips happened to a photo, or think about the fading or red (or yellow) toning concerning the colors of a photo. In this paper, we propose a novel method which is able to assess the original beauty of digital reproductions of aged photos, as well as digital reproductions of faded goods. The method is based on the comparison of the degraded image with a not-degraded one showing similar contents; thus, the colors of the not-degraded image can be transplanted in the degraded one. The key idea is a dualism between the analytical mechanics and the color theory: for each of the degraded and not-degraded images we compute first a scatter plot of the x and y normalized coordinates of their colors; these scatter diagrams can be regarded as a system of point masses, thus provided of inertia axes and an inertia ellipsoid. Moving the scatter diagram of the degraded image over the one belonging to the not-degraded image, the colors of the degraded image can be restored.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Del Mastio, A. Piva, M. Barni, V. Cappellini, and L. Stefanini "Color transplant for reverse ageing of faded artworks", Proc. SPIE 6810, Computer Image Analysis in the Study of Art, 681006 (29 February 2008); https://doi.org/10.1117/12.765680
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Cited by 1 scholarly publication.
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KEYWORDS
Colorimetry

RGB color model

Photography

Computing systems

Humidity

Mechanics

Silver

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