Image analysis – Applications
Reexamination Certificate
2011-08-02
2011-08-02
Bella, Matthew C (Department: 2624)
Image analysis
Applications
Reexamination Certificate
active
07991185
ABSTRACT:
Embodiments of the invention are a novel splicing detection scheme that detects the spliced images by distinguishing image features that are extracted by exploiting both magnitude and phase information of a given image. The image features include the statistical moments of characteristic functions of wavelet subbands of a test image and a prediction-error image. In addition, the approximation (LL) subband at different levels is individually erased by forcing the wavelet coefficients to zero and the inverse wavelet transform is applied in order to produce reconstructed image with enhanced high frequency components. Further, the moments of the characteristic functions of these reconstructed images provide additional image features. Moreover, the statistics (mean, variance, skewness and kurtosis) of 2-D phase congruency array associated with the reconstructed images provide additional image features for splicing detection. These inputs provide a 120 dimensional image feature vector that includes 96 moment features and 24 phase features.
REFERENCES:
patent: 7280669 (2007-10-01), Choi et al.
patent: 7386146 (2008-06-01), Le Floch
patent: 2003/0053657 (2003-03-01), Le Floch
patent: 2005/0086223 (2005-04-01), Rui
patent: 2005/0195896 (2005-09-01), Huang et al.
patent: 2007/0065034 (2007-03-01), Monro
patent: 2010/0104133 (2010-04-01), Wong et al.
“Image Authentication Using Content Based Watermark”, Circuits and Systems, IEEE, May 23-26, 2005, pp. 4014-4017 vol. 4.
“Detecting Digital Forgeries Using Bispectral Analysis” by Hany Farid, Perceptual Science Group, MIT, Cambridge, MA 02139, pp. 1-9, 1999.
“Blind Detection of Photomontage Using Highter Order Statistics” by Tian-Tsong Ng et al., Department of Electrical Engineering, Columbia University, New York, NY, 2004.
“LOCO-I: A Low Complexity, Context-Bassed, Lossless Image Compression Algorithm” by Marcelo J. Weinberg et al., Hewlett-Packard Laboratories, Palo Alto, CA 94304, pp. 1-11, 1996.
“Invariant Measures of Image Features from Phase Information” by Peter Kovesi.
“Videre: Journal of Computer Vision Research” by Peter Kovesi, Quarterly Journal, Summer 1999, vol. 1, No. 3, Teh MIT Press.
“A Tutorial on Support Vector Machines for Pattern Recognition” by Christopher J.C. Burges, Data Mining and Knowledge Discovery, 2, 121-167 (1998).
Chen Wen
Shi Yun-Quing
Bella Matthew C
Connolly Bove & Lodge & Hutz LLP
Nakhjavan Shervin
New Jersey Institute of Technology
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