| Image Inpainting Based on Geometric Similarity | |
|---|---|
| 學年 | 101 |
| 學期 | 1 |
| 出版（發表）日期 | 2012-12-01 |
| 作品名稱 | Image Inpainting Based on Geometric Similarity |
| 作品名稱（其他語言） | |
| 著者 | Hung, Kuo-ming; Chen, Yen-liang; Hsieh, Ching-tang |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Calgary: ACTA Press |
| 著錄名稱、卷期、頁數 | International Journal of Computers and Applications 34(1), pp.11-18 |
| 摘要 | This paper proposed a new image inpainting method for restoring a large damaged area in the images called the “Geometric Image Inpainting Method (GII)”. The method was developed in response to several common problems encountered in the image inpainting process and provided a high-quality result compared to human vision. In the field of image inpainting, there are three key issues: texture analysis, repairing order and reconstruction of lost image pixels. Though there have been a lot of researches published, few combined all three key issues in their studies. We propose a novel image inpainting method integrating all three key issues at the same time. Experiments showed that the proposed image inpainting method offered better results than other existed methods. |
| 關鍵字 | Image Inpainting; Wavelet Transform; Repair Order; Fractal Geometry; GII |
| 語言 | en_US |
| ISSN | 1206-212X 1925-7074 |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | Hsieh, Ching-tang |
| 審稿制度 | 是 |
| 國別 | CAN |
| 公開徵稿 | |
| 出版型式 | 紙本 電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/76702 ) |
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