A Novel Color Transfer Algorithm for Impressionistic Paintings

by CGLab posted May 01, 2014
Extra Form
Author Hochang Lee, Taemin Lee, Kyunghyun Yoon
Location Advances in Visual Computing Lecture Notes in Computer Science
Volume Volume 7431, 2012, pp 513-522
Abstract Existing color reproduction algorithms achieve image enhancement or visualization by correcting tone and hue. Although these algorithms are good at incorporating a natural feel in an image, they do not accurately represent intended colors that are contrasted. This limitation is particularly evident in the case of impressionist paintings that have a color contrast based on the style of the painter and the conventions of impressionism. In this study, we propose a novel color reproduction algorithm for impressionism, primarily focusing on paintings by Vincent van Gogh. First, the color value that is most obvious to the user is extracted. Based on this color, the color of the main object is transferred. Then, the color contrast information of a sample painting is extracted based on the color harmony theory. Finally, the color of other regions is transferred. Using our proposed algorithm, a more artistic result that matches the contrast style of the artist is generated. This work should be extended further to enhance the simulation of stroke color by a painterly rendering algorithm.
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A Novel Color Transfer Algorithm for Impressionistic Paintings

Hochang Lee       Taemin Lee       Kyunghyun Yoon

CAU CGLab

nct_big.JPG

Abstract

Existing color reproduction algorithms achieve image enhancement or visualization by correcting tone and hue. Although these algorithms are good at incorporating a natural feel in an image, they do not accurately represent intended colors that are contrasted. This limitation is particularly evident in the case of impressionist paintings that have a color contrast based on the style of the painter and the conventions of impressionism. In this study, we propose a novel color reproduction algorithm for impressionism, primarily focusing on paintings by Vincent van Gogh. First, the color value that is most obvious to the user is extracted. Based on this color, the color of the main object is transferred. Then, the color contrast information of a sample painting is extracted based on the color harmony theory. Finally, the color of other regions is transferred. Using our proposed algorithm, a more artistic result that matches the contrast style of the artist is generated. This work should be extended further to enhance the simulation of stroke color by a painterly rendering algorithm.