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Segmentation based image copy-move forgery detection scheme

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I3E Technologies
I3E Technologies

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Engineering
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SEGMENTATION-BASED IMAGE COPY-MOVE FORGERY DETECTION SCHEME ABSTRACT In this paper, we propose a scheme to detectthe copy-move forgery in an image, mainly by extracting thekeypoints for comparison. The main difference to the traditionalmethods is that the proposed scheme first segments the testimage into semantically independent patches prior to keypointextraction. As a result, the copy-move regions can be detected bymatching between these patches. The matching process consistsof two stages. In the first stage, we find the suspicious pairsof patches that may contain copy-move forgery regions, and weroughly estimate an affine transform matrix. In the second stage,an Expectation-Maximization-based algorithm is designed torefine the estimated matrix and to confirm the existence of copymoveforgery. Experimental results prove the good performanceof the proposed scheme via comparing it with the state-of-the-artschemes on the public databases.

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  • 1. SEGMENTATION-BASED IMAGE COPY-MOVE FORGERY DETECTION SCHEME ABSTRACT In this paper, we propose a scheme to detectthe copy-move forgery in an image, mainly by extracting thekeypoints for comparison. The main difference to the traditionalmethods is that the proposed scheme first segments the testimage into semantically independent patches prior to keypointextraction. As a result, the copy-move regions can be detected bymatching between these patches. The matching process consistsof two stages. In the first stage, we find the suspicious pairsof patches that may contain copy-move forgery regions, and weroughly estimate an affine transform matrix. In the second stage,an Expectation-Maximization-based algorithm is designed torefine the estimated matrix and to confirm the existence of copymoveforgery. Experimental results prove the good performanceof the proposed scheme via comparing it with the state-of-the-artschemes on the public databases.