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This method is robust to digital image manipulations, but limited to forgery of images in corners.
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The forgery of stereoscopic images can be conducted in two ways [15].
The results imply that the forgery of stereoscopic image is easy if some conditions are satisfied.
Through these experimental results, we deduced that two constraints inevitably occur in the forgery of stereoscopic image.
Moreover, we developed the CSS process, based on the constraints that occur during the forgery of stereoscopic 3D images.
In Section 4, we investigate the characteristics of forgery with stereoscopic images.
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].
Hence, the proposed method is able to detect the corner forgery in images.
Hence, considerable research has been undertaken for addressing the detection of image forgeries using different types of features [1, 2].
Last summer the Van Gogh Museum in Amsterdam commissioned a forgery of one of its paintings and presented a high-resolution image of the fake along with shots of four authentic Van Goghs to three teams of brush stroke-analysis researchers.
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CEO of Professional Science Editing for Scientists @ prosciediting.com