Mapping colors from paintings to tapestries: Rejuvenating the faded colors in tapestries based on colors in reference paintings
Paper i proceeding, 2012

We addressed the problem of recovering or "rejuvenating" colors in a faded tapestry (the target image) by automatically mapping colors from digital images of the reference painting or cartoon (the source image). We divided the overall computational challenge into several subproblems, and implemented their solutions in Matlab: 1) quantizing the colors in both the tapestry and the referent painting, 2) matching corresponding regions in the works based on spatial location, area and color, 3) mapping colors from regions in the source image to corresponding regions in the target image, and 4) estimating the fading of colors and excluding color mapping of areas where color has not faded. There are a number of semi-global design parameters in our algorithm, which we currently set by hand, for instance the parameter that balance the effects of 1) matching color areas in the two images and 2) matching the spatial locations between the two images. We demonstrated our method on synthetic data and on small portions of 16th-century European tapestries of cultural patrimony. Our first steps in a proof-of-concept work suggest that future refinements to our method will lead to a software tool of value to art scholars.

tapestries

fugitive pigments

cultural heritage

computer image analysis of art

fine art

color rejuvenation

Författare

Marie Ström

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Eija Johansson

Chalmers University of Technology

David Strok

Rambus Labs

Proceedings of SPIE - The International Society for Optical Engineering

0277786X (ISSN)

Vol. 8291 Art. no. 82911F- 82911F

Ämneskategorier

Kulturstudier

Annan matematik

Konstvetenskap

DOI

10.1117/12.905275

ISBN

978-081948942-5