We use terahertz time-domain imaging and time-of-flight tomography to examine subsurface defects in an early-19th-century Russian icon painting. In the transmission geometry, we distinguish between native wood and higher-absorption knotted wood. In reflection, we identify a void in the wood filled with foreign filler material. By using time-of-flight tomographic analysis, we ascertain the depth of burial of the defects. This information helps us to identify the cause of surface faults in the painting, thus allowing the conservators to choose an adequate restoration strategy.
© 2014 Optical Society of America
Original Manuscript: November 4, 2013
Revised Manuscript: January 4, 2014
Manuscript Accepted: January 5, 2014
Published: February 12, 2014
Anton S. Skryl, J. Bianca Jackson, Michael I. Bakunov, Michel Menu, and Gerard A. Mourou, "Terahertz time-domain imaging of hidden defects in wooden artworks: application to a Russian icon painting," Appl. Opt. 53, 1033-1038 (2014)