Summary: Intelligent Modification of Colors in Digitized
Paintings for Enhancing the Visual Perception of
Color­blind Viewers
Paul Doliotis 1 , George Tsekouras 2 , Christos­Nikolaos Anagnostopoulos 2 , and
Vassilis Athitsos 1
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 color­blind to some
extent. Therefore there is great research interest regarding the development of meth­
ods that modify digital color images in order to enhance the color perception by the
impaired viewers. These methods are known as daltonization techniques. This pa­
per 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 in­
clude results of the implementation of the proposed method on digitized paintings,
demonstrating the effectiveness of our algorithm.
1 Introduction

Source: Athitsos, Vassilis - Department of Computer Science and Engineering, University of Texas at Arlington

Collections: Computer Technologies and Information Sciences