DocumentCode :
1475780
Title :
Effective Detection for Linear Up-Sampling by a Factor of Fraction
Author :
Yang Ta Kao ; Hwei Jen Lin ; Chun Wei Wang ; Yi Chun Pai
Author_Institution :
Dept. of Inf. Network Technol., Chihlee Inst. of Technol., Taipei, Taiwan
Volume :
21
Issue :
8
fYear :
2012
Firstpage :
3443
Lastpage :
3453
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.
Keywords :
image sampling; matrix algebra; image linear up-sampling; linear upsampling effective detection; resampling matrix construction algorithm; upsampling detection algorithm; upsampling fraction; zeroing mask construction; zeroing mask derivation algorithm; Correlation; Equations; Forgery; Linear systems; Maximum likelihood detection; Symmetric matrices; Vectors; Image forgery; linear interpolation; linear up-sampling; resampling factor; zeroing mask; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Linear Models; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2012.2191562
Filename :
6172575
Link To Document :
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