| dc.contributor | 資科系 | - |
| dc.creator (作者) | Chi, Ming-Te;Liu, Wei-Ching;Hsu, Shu-Hsuan | - |
| dc.creator (作者) | 紀明德 | - |
| dc.date (日期) | 2016 | - |
| dc.date.accessioned | 11-Apr-2016 14:39:12 (UTC+8) | - |
| dc.date.available | 11-Apr-2016 14:39:12 (UTC+8) | - |
| dc.date.issued (上傳時間) | 11-Apr-2016 14:39:12 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/84102 | - |
| dc.description.abstract (摘要) | Image stylization refers to the process of converting input images to a specific representation that enhances image content using several designed patterns. The critical steps to a successful image stylization are the design of patterns and arrangements. However, only skilled artists master such tasks because these tasks are challenging for most users. In this paper, a novel image stylization system based on anisotropic reaction diffusion is proposed to facilitate pattern generation and stylized image design. The system begins with self-organized patterns generated by reaction diffusion. To extend the style of reaction diffusion, the proposed method involves using a set of modifications of anisotropic diffusion to deform shape and introducing a flow field to guide pattern arrangement. A pattern picker is proposed to facilitate the pattern selection from these modifications. In the post-process step, a new thresholding and color mapping method is introduced to refine the sizes, densities, and colors of patterns. From the experimental results and a user study, several image stylizations, including paper-cut, stylized halftone, and motion illusion, are generated using our method, demonstrating the feasibility and flexibility of the proposed system. | - |
| dc.format.extent | 6596604 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | The Visual Computer, 32(12), 1549-1561 | - |
| dc.subject (關鍵詞) | Non-photorealistic rendering;Image stylization;Reaction diffusion;Pattern generation | - |
| dc.title (題名) | Image stylization using anisotropic reaction diffusion | - |
| dc.type (資料類型) | article | - |
| dc.identifier.doi (DOI) | 10.1007/s00371-015-1139-2 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/s00371-015-1139-2 | - |
