教師資料查詢 | 類別: 期刊論文 | 教師: 林承賢 CHENG SHIAN LIN (瀏覽個人網頁)

標題:An efficiency enhanced cluster expanding block algorithm for copy-move forgery detection
學年106
學期1
出版(發表)日期2017/12/01
作品名稱An efficiency enhanced cluster expanding block algorithm for copy-move forgery detection
作品名稱(其他語言)
著者Chien-Chang Chen; Han Wang; Cheng-Shian Lin
單位
出版者
著錄名稱、卷期、頁數Multimedia Tools and Applications 76(24), p.26503–26522
摘要The proposed scheme detects the copy-move forgery detection regions through the invariant features extracted from each block. First, an image is divided into overlapping blocks, and seven invariant moments of the maximum circle area in each block are calculated as moment features. Two clustering features, denoted by mean and variance of these seven moment features, are acquired for block comparison to reduce computation time. Therefore, the proposed scheme takes limited computation time because the seven moment features in each block are only compared to other blocks under the intersection of closed mean and variance features. The copy-move forgery regions can be found by matching the detected blocks with relative distance calculation. Experimental results show that the adopted moment features are efficient for detecting rotational or flipped duplicated regions.
關鍵字Forgery duplication;Invariant moment;Mean;Variance;Clustering
語言英文(美國)
ISSN1573-7721
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版
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