Robustness of copy-move forgery detection under high JPEG compression artifacts

This paper proposes a robust method for detecting copy-move forgery in images under various JPEG compression and Gaussian noise and blurring attacks. The method comprises feature extraction, feature matching, and duplicate block identification. The fast Fourier transform (FFT), singular value decomp...

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Bibliographic Details
Published in:Multimedia tools and applications 2017, Vol.76 (1), p.1509-1530
Main Authors: Huang, Deng-Yuan, Huang, Ching-Ning, Hu, Wu-Chih, Chou, Chih-Hung
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Compressing
Computer Communication Networks
Computer engineering
Computer Science
Data compression
Data Structures and Information Theory
Decomposition
Feature extraction
Forgery
Fourier transforms
Image compression
Image processing systems
JPEG encoders-decoders
Matching
Methods
Multimedia Information Systems
Noise
Principal components analysis
Reproduction
Singular value decomposition
Special Purpose and Application-Based Systems
Studies
Wavelet transforms
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Summary:This paper proposes a robust method for detecting copy-move forgery in images under various JPEG compression and Gaussian noise and blurring attacks. The method comprises feature extraction, feature matching, and duplicate block identification. The fast Fourier transform (FFT), singular value decomposition (SVD), and principal component analysis (PCA) are utilized for feature extraction. Then, the cascading matchers of FFT, SVD, and PCA are adopted for feature matching. Matched blocks are identified using cascade filtering with city block, horizontal, vertical, and frequency filters. Finally, the pixels on upper left corners of detected duplicate blocks are output for visual inspection. The major contributions of this paper are: (1) the proposed method is fully threshold-free; (2) only one-dimensional features are generated using FFT and SVD for feature matching; and (3) a high accuracy rate (> 97 %) is obtained even if the JPEG quality factor Q is 20. In extensive experiments, a 98 % accuracy rate and a 6 % false negative rate were obtained for the worst case of Q = 20 and a region size of 32 × 32 pixels compared to existing works, indicating the feasibility of the proposed method.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-015-3152-x