Copy-move forgery detection based on KAZE resistant to smooth texture

• 1、School of Information Science and Engineering, Hunan University, Changsha 410082

Abstract：Aiming at the problem that some tampered images have obvious brightness changes and the single texture insufficient extraction point, this paper proposes an efficient copy-move tamper detection algorithm based on equalization preprocessing and KAZE features. Firstly, equalization preprocessing is used to enhance the local contrast of the image and extract the feature information in detail. Next, KAZE based on non-linear spatial filtering is used to remove noise while retaining the edge details, which has a good effect on the problem of insufficient amount of feature points. Finally, a series of operations such as preliminary matching, feature points clustering, stereo matching and morphological processing are performed to accurately locate the tampered area. The experimental results show that the algorithm can not only precisely locate multiple tampered areas of the image, but also improve the detection speed. At the same time, the robustness of the algorithm to different types of post-processing such as JPEG compression, blurring, brightness change, color distortion and so on is verified.

keywords： information processing technology copy-move forgery histogram equalization KAZE feature extraction stereo matching

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