Intelligent Modification of Colors in Digitized Paintings for Enhancing the Visual Perception of Color-blind Viewers

  • Paul Doliotis
  • George Tsekouras
  • Christos-Nikolaos Anagnostopoulos
  • Vassilis Athitsos
Conference paper

DOI: 10.1007/978-1-4419-0221-4_35

Volume 296 of the book series IFIP International Federation for Information Processing (IFIPAICT)
Cite this paper as:
Doliotis P., Tsekouras G., Anagnostopoulos CN., Athitsos V. (2009) Intelligent Modification of Colors in Digitized Paintings for Enhancing the Visual Perception of Color-blind Viewers. In: Iliadis, Maglogiann, Tsoumakasis, Vlahavas, Bramer (eds) Artificial Intelligence Applications and Innovations III. AIAI 2009. IFIP International Federation for Information Processing, vol 296. Springer, Boston, MA

Abstract

Color vision deficiency (CVD) is quite common since 8%–12% of the male and 0.5% of the female European population seem to be color-blind to some extent. Therefore there is great research interest regarding the development of methods that modify digital color images in order to enhance the color perception by the impaired viewers. These methods are known as daltonization techniques. This paper describes a novel daltonization method that targets a specific type of color vision deficiency, namely protanopia. First we divide the whole set of pixels into a smaller group of clusters. Subsequently we split the clusters into two main categories: colors that protanopes (persons with protanopia) perceive in a similar way as the general population, and colors that protanopes perceive differently. The color clusters of the latter category are adapted in order to improve perception, while ensuring that the adapted colors do not conflict with colors in the first category. Our experiments include results of the implementation of the proposed method on digitized paintings, demonstrating the effectiveness of our algorithm.

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Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Paul Doliotis
    • 1
  • George Tsekouras
    • 2
  • Christos-Nikolaos Anagnostopoulos
    • 2
  • Vassilis Athitsos
    • 1
  1. 1.Computer Science and Engineering DepartmentUniversity of Texas at ArlingtonUSA
  2. 2.Department of Culture, Technology, and CommunicationUniversity of the AegeanGreece