Abstract
Image forgery is the manipulation of digital images to conceal meaningful information or objects in the image. Among different image forgery techniques, copy – move forgery is one of the frequently used passive image forgery approach. The existing methods such as Principle Component Analysis (PCA), Discrete Wavelet Transform (DWT) & Singular Value Decomposition (SVD) are time consuming. Hence it is not suited for digital forensic science, surveillance system applications which uses image, video or multimedia security. This paper proposes a parallel algorithm for the copy – move image forgery detection to decrease execution time of the algorithm. The method uses overlapping blocks and lexicographical sorting in a parallel manner. The simulation results show that the proposed parallel version detects the forged region faster, so that it is best suited for real time applications.
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