Abstract
Exemplar-based inpainting technique can be used to remove objects from an image and play visual tricks, which would affect the authenticity of images. In this paper, a blind detection method based on zero-connectivity feature and fuzzy membership is proposed to detect the specific doctoring. Firstly, zero-connectivity labeling is applied on block pairs to yield matching degree feature for all blocks in the region of suspicious, and fuzzy memberships are computed by constructing ascending semi-trapezoid membership function. Then the tampered regions are identified by a cut set. A num of natural and inpainted forged images are used to show the effectiveness of our method in detecting digital doctoring. © 2008 IEEE.
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Wu, Q., Sun, S. J., Zhu, W., Li, G. H., & Tu, D. (2008). Detection of digital doctoring in exemplar-based inpainted images. In Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC (Vol. 3, pp. 1222–1226). https://doi.org/10.1109/ICMLC.2008.4620591
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