An Efficiency Enhanced Cluster Expanding Block Algorithm for Copy-Move Forgery Detection

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/112736

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題名:	An Efficiency Enhanced Cluster Expanding Block Algorithm for Copy-Move Forgery Detection
作者:	Chen, Chien-chang;Lin, Cheng-shian
關鍵詞:	Forgery duplication;Invariant moment;Mean;Variance;Clustering
日期:	2016-12-13
上傳時間:	2018-03-02 12:11:20 (UTC+8)
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.
關聯:	Multimedia Tools and Applications 76(24),　p.26503-26522
DOI:	10.1007/s11042-016-4179-3
顯示於類別:	[資訊工程學系暨研究所] 期刊論文

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