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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 19, Iss. 21 — Oct. 10, 2011
  • pp: 21011–21017

Digital cleaning and “dirt” layer visualization of an oil painting

Cherry May T. Palomero and Maricor N. Soriano  »View Author Affiliations

Optics Express, Vol. 19, Issue 21, pp. 21011-21017 (2011)

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We demonstrate a new digital cleaning technique which uses a neural network that is trained to learn the transformation from dirty to clean segments of a painting image. The inputs and outputs of the network are pixels belonging to dirty and clean segments found in Fernando Amorsolo’s Malacañang by the River. After digital cleaning we visualize the painting’s discoloration by assuming it to be a transmission filter superimposed on the clean painting. Using an RGB color-to-spectrum transformation to obtain the point-per-point spectra of the clean and dirty painting images, we calculate this “dirt” filter and render it for the whole image.

© 2011 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing
(100.3020) Image processing : Image reconstruction-restoration
(330.1690) Vision, color, and visual optics : Color

ToC Category:
Image Processing

Original Manuscript: April 20, 2011
Revised Manuscript: May 19, 2011
Manuscript Accepted: June 27, 2011
Published: October 7, 2011

Cherry May T. Palomero and Maricor N. Soriano, "Digital cleaning and “dirt” layer visualization of an oil painting," Opt. Express 19, 21011-21017 (2011)

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