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Physical restoration of a painting with a digitally-constructed mask

Author(s)
Kachkine, Alex
Downloadmanuscript-v10-unlinked-with-figures.pdf (Embargoed until: 2025-12-11, 267.5Mb)
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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Abstract
Conservation of damaged oil paintings requires manual inpainting of losses, leading to months-long treatments of considerable expense: 70% of paintings in institutional collections are locked away from public view in part due to treatment cost. Recent advancements in digital image reconstruction have helped envision treatment results, though without any direct means of achieving them. This study demonstrates the first physically-applied digital restoration of a painting, a highly-damaged oil-on-panel attributed to the Master of the Prado Adoration (MPA) from the late 15th century. In parallel, 5,612 losses spanning 66,205 mm2 and 57,314 colors are infilled with a reversible laminate mask comprising a color-accurate bilayer of printed pigments on polymeric films. To ensure restoration effectiveness, ethical principles in paintings conservation are implemented quantitatively for digital mask construction, a critically-important foundation lacking in current digital restoration literature. The infill process takes 3.5 hours, an estimated 66 times faster than conventional inpainting, with the result closely matching simulation. This approach grants unprecedented foresight and flexibility to conservators, enabling the restoration of countless damaged paintings deemed unworthy of high conservation budgets.
Date issued
2025-06-11
URI
https://hdl.handle.net/1721.1/159269
Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Journal
Nature
Publisher
Nature Portfolio
Citation
Kachkine, Alex. 2025. "Physical restoration of a painting with a digitally-constructed mask." Nature.
Version: Author's final manuscript

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