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(a) Another example of JPEG image forgery.
Powerful digital image editing tools make it very easy to produce a perfect image forgery.
In fact, the localization of tampered regions is a basic necessity for meaningful image forgery detection.
Extensive studies have been carried out for detecting image forgery such as copy-move, re-sampling, blurring, and contrast enhancement.
Recently, various kinds of image forgery detection approaches have been proposed [2, 3].
Wavelet decomposition and statistical moments have proved their feasibility of image forgery detection in [8, 9, 11].
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We propose a blind technique capable of detecting traces of feather operation to expose image forgeries.
Our algorithm not only detects image forgeries but also locates the tampered regions accurately.
Such phenomenon in JPEG image forgeries is called the shifted double JPEG SDJPEGG) compression effect.
Among all the image forgeries, image splicing can be considered as the most fundamental and common operation.
Hence, considerable research has been undertaken for addressing the detection of image forgeries using different types of features [1, 2].
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