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9 August 2018 Automatic image style transfer using emotion-palette
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Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108064A (2018) https://doi.org/10.1117/12.2502935
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
Abstract
Palette-based color editing can form an intuitive interface through which novices can perform interesting color modifications. However, because such modifications involve pixel-level operations, considerable labor is needed to accomplish an image’s emotion transformation. In this paper, we propose a novel color-transferring framework for image based on palettes to evoke different emotions. The purpose is to use the emotion-related color combinations to change the picture's original color palette to obtain stylized images. For an input image, the optimized k-medoids algorithm is used to create a set of the most representative color palettes. The system search for the best color combinations from a predefined database according to the color palette characteristics of the input image. Finally, using the selected emotion-palette we conduct a color transfer. The novel method can transfer a wide range of image into a new color style depicting the required emotional impact.
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Jing Huang, Shizhe Zhou, Xianyi Zhu, Yiwen Li, and Chengfeng Zhou "Automatic image style transfer using emotion-palette ", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064A (9 August 2018); https://doi.org/10.1117/12.2502935
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