Approximate Detection Method for Image Up-Sampling

機構典藏 > College of Engineering > Graduate Institute & Department of Computer Science and Information Engineering > Journal Article > Item 987654321/96843

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/96843

Title:	Approximate Detection Method for Image Up-Sampling
Authors:	Tu, Ching-Ting;Lin, Hwei-Jen;Yang, Fu-Wen;Chang, Hsiao-Wei
Contributors:	淡江大學資訊工程學系
Keywords:	image forgery;copy-move;resampling rate;resampling factor;zeroing mask
Date:	2014
Issue Date:	2014-03-13 16:08:29 (UTC+8)
Publisher:	Seoul: Korean Society for Internet Information
Abstract:	This paper proposes a new resampling detection method for images that detects whether an image has been resampled and recovers the corresponding resampling rate. The proposed method uses a given set of zeroing masks for various resampling factors to evaluate the convolution values of the input image with the zeroing masks. Improving upon our previous work, the proposed method detects more resampling factors by checking for some periodicity with an approximate detection mechanism. The experimental results demonstrate that the proposed method is effective and efficient.
Relation:	KSII Transactions on Internet and Information Systems 8(2), pp.462-482
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	1742	View/Open
index.html		0Kb	HTML	220	View/Open