| Fast copy-move forgery detection | |
|---|---|
| 學年 | 97 |
| 學期 | 2 |
| 出版（發表）日期 | 2009-05-01 |
| 作品名稱 | Fast copy-move forgery detection |
| 作品名稱（其他語言） | |
| 著者 | Lin, Hwei-Jen; Wang, Chun-Wen; Kao, Yang-Ta |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | Wisconsin: World Scientific and Engineering Academy and Society |
| 著錄名稱、卷期、頁數 | WSEAS Transactions on Signal Processing 5(5), pp.188-197 |
| 摘要 | This paper proposes a method for detecting copy-move forgery over images tampered by copy-move. To detect such forgeries, the given image is divided into overlapping blocks of equal size, feature for each block is then extracted and represented as a vector, all the extracted feature vectors are then sorted using the radix sort. The difference (shift vector) of the positions of every pair of adjacent feature vectors in the sorting list is computed. The accumulated number of each of the shift vectors is evaluated. A large accumulated number is considered as possible presence of a duplicated region, and thus all the feature vectors corresponding to the shift vectors with large accumulated numbers are detected, whose corresponding blocks are then marked to form a tentative detected result. Finally, the medium filtering and connected component analysis are performed on the tentative detected result to obtain the final result. Compared with other methods, employing the radix sort makes the detection much more efficient without degradation of detection quality. |
| 關鍵字 | Forgery Detection; Copy-move Forgery;Singular Value Decomposition (SVD);Principal Component Analysis (PCA);Lexicographical Sort;Scale Invariant Feature Transform (SIFT) Descriptors;Log-polar Coordinates;Radix Sort;Connected Component Analysis |
| 語言 | en |
| ISSN | 1790-5052; 2224-3488 |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | Lin, Hwei-Jen; Wang, Chun-Wen; Kao, Yang-Ta |
| 審稿制度 | 是 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/53761 ) |
GoogleAnalytics