Estimating the Colors of Paintings

Sergio M. C. Nascimento, Joao M. M. Linhares, Catarina A. R. Joao, Kinjiro Amano, Cristina Montagner, Maria J. Melo, Marcia Vilarigues

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


Observers can adjust the spectrum of illumination on paintings for optimal viewing experience. But can they adjust the colors of paintings for the best visual impression? In an experiment carried out on a calibrated color monitor images of four abstract paintings obtained from hyperspectral data were shown to observers that were unfamiliar with the paintings. The color volume of the images could be manipulated by rotating the volume around the axis through the average (a*, b*) point for each painting in CIELAB color space. The task of the observers was to adjust the angle of rotation to produce the best subjective impression from the paintings. It was found that the distribution of angles selected for data pooled across paintings and observers could be described by a Gaussian function centered at 10 degrees, i.e. very close to the original colors of the paintings. This result suggest that painters are able to predict well what compositions of colors observers prefer.

Original languageEnglish
Title of host publicationCOMPUTATIONAL COLOR IMAGING, CCIW 2015
EditorsA Tremeau, R Schettini, S Tominaga
Place of PublicationCham, Switzerland
PublisherSpringer International Publishing
Number of pages7
ISBN (Electronic)978-3-319-15979-9
ISBN (Print)978-3-319-15978-2
Publication statusPublished - 2015
Event5th International Computational Color Imaging Workshop (CCIW) - Saint Etienne, France
Duration: 24 Mar 201526 Mar 2015

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer International Publishing
ISSN (Print)0302-9743


Conference5th International Computational Color Imaging Workshop (CCIW)
CitySaint Etienne


  • Colors of paintings
  • Color vision
  • Art visualization
  • Color rendering
  • Aesthetics


Dive into the research topics of 'Estimating the Colors of Paintings'. Together they form a unique fingerprint.

Cite this