An Efficiency Enhanced Cluster Expanding Block Algorithm for Copy-Move Forgery Detection
學年 105
學期 1
出版（發表）日期 2016-12-13
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 Chen, Chien-chang; Lin, Cheng-shian
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 en
ISSN 1573-7721
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者
審稿制度 是
國別 NLD
公開徵稿
出版型式 ,電子版
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