Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images Toqeer Mahmood, Aun.

Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images Toqeer Mahmood, Aun Irtaza, Zahid Mehmood, Muhammad Tariq Mahmood Forensic Science International Volume 279, Pages 8-21 (October 2017) DOI: /j.forsciint Copyright © 2017 Elsevier B.V. Terms and Conditions

Fig. 1 A visual example of CMF and image splicing [7].
Forensic Science International , 8-21DOI: ( /j.forsciint ) Copyright © 2017 Elsevier B.V. Terms and Conditions

Fig. 2 The model of the proposed technique.

Fig. 3 Decomposition of a 2D image through SWT.

Fig. 4 Circular block extraction.

Fig. 5 An illustration of the need for shift-invariant descriptors.

Fig. 6 Difference between square and circular block [39].

Fig. 7 Example copy-move forged images from the selected datasets. The top row contains original images and bottom row contains forged images. First, two images (top and bottom rows) are from CoMoFoD dataset and last two images (top and bottom rows) are from KLTCI dataset. Forensic Science International , 8-21DOI: ( /j.forsciint ) Copyright © 2017 Elsevier B.V. Terms and Conditions

Fig. 8 CMFD in the presence of translation operation.

Fig. 9 Detection results of flipping.

Fig. 10 Detection results using images distorted by blurring with (7×7) average filtering. Forensic Science International , 8-21DOI: ( /j.forsciint ) Copyright © 2017 Elsevier B.V. Terms and Conditions

Fig. 11 Detection results of rotation operation.

Fig. 12 Detection results of scaling operation.

Fig. 13 Detection results using color reduction.

Fig. 16 Average TDR and FDR rate with rotation operation.

Fig. 17 Average TDR and FDR rate with color reduction operation.

Fig. 18 Average TDR and FDR rate with brightness change operation.

Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images Toqeer Mahmood, Aun.

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Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images Toqeer Mahmood, Aun.

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