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A Novel Color Transfer Algorithm for Impressionistic Paintings

机译:一种新的印象派绘画色彩转移算法

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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.
机译:现有的色彩还原算法可通过校正色调和色相来实现图像增强或可视化。尽管这些算法擅长将自然感觉融合到图像中,但是它们不能准确表示要对比的预期颜色。这种印象在印象派绘画的情况下尤为明显,其绘画风格基于画家的风格和印象派的习俗而形成对比。在这项研究中,我们提出了一种新颖的印象派色彩再现算法,主要针对文森特·凡·高(Vincent van Gogh)的画作。首先,提取对用户最明显的颜色值。基于此颜色,将传输主要对象的颜色。然后,基于颜色协调理论提取样本绘画的颜色对比度信息。最后,其他区域的颜色被转移。使用我们提出的算法,可以生成与艺术家的对比风格相匹配的更具艺术性的结果。这项工作应进一步扩展,以通过绘画渲染算法来增强笔触颜色的仿真。

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