Effective Detection for Linear Up-Sampling by a Factor of Fraction

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Title:	Effective Detection for Linear Up-Sampling by a Factor of Fraction
Authors:	Kao, Yang-Ta;Lin, Hwei-Jen;Wang, Chun-Wei;Pai, Yi-Chun
Contributors:	淡江大學資訊工程學系
Keywords:	Image forgery;linear interpolation;linear up-sampling;resampling factor;zeroing mask
Date:	2012-08
Issue Date:	2012-09-04 10:37:20 (UTC+8)
Publisher:	Piscataway: Institute of Electrical and Electronics Engineers
Abstract:	In this paper, we propose an effective method for detecting linear up-sampling in images. Our method includes three parts. First, we present an algorithm, Resampling Matrix Construction, that automatically derives the resampling matrix for any given resampling factor of fraction. Second, we show an algorithm, Zeroing Mask Derivation, that constructs a zeroing mask for the resampling produced by the proposed algorithm. Last, we propose an algorithm, up-sampling detection (UD), that detects the up-sampling in images using the zeroing masks in a specific order. Compared with existing methods, the proposed method for UD can not only effectively detect resampling by any fraction but can also recover the up-sampling fraction. Preliminary experimental results show that the proposed method is indeed effective.
Relation:	IEEE Transactions on Image Processing 21(8), pp.3443-3453
DOI:	10.1109/TIP.2012.2191562
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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