Artistic preprocessing for painterly rendering and image stylization |
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Authors: | Yu Zang Hua Huang Chen-Feng Li |
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Affiliation: | 1. School of Electrical Information Engineering, Xi’an Jiaotong University, Shaanxi, China 2. Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China 3. College of Engineering, Swansea University, Wales, UK
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Abstract: | A practical image enhancing technique is presented as a preprocessing step for painterly rendering and image stylization, which transforms the input image mimicking the vision of artists. The new method contains mainly two parts dealing with artistic enhancement and color adjustment, respectively. First, through feature extraction and simplification, an abstract shadow map is constructed for the input image, which is then taken as a guide for emphasizing the light–shadow contrast and the important shadow lines. Next, to simulate the intense color emotion often subjectively added by the artist, a color adjustment technique is proposed to generate lively colors with sharp contrast imitating the artistic vision. The preprocessing operation is compatible with existing stylization and stroke-based painterly rendering techniques, and it can also produce different types of stylization results independently. |
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