Titlebook: Digital Forensics and Watermarking; 15th International W Yun Qing Shi,Hyoung Joong Kim,Feng Liu Conference proceedings 2017 Springer Intern

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A Novel Robust Image Forensics Algorithm Based on L1-Norm Estimationoach can effectively solve the inaccurate locating problem caused by outliers. It also performs better than reference algorithm in locating spliced regions, especially for those with realistic appearances, and improves the robustness effectively.

我吃花盤旋

臭了生氣

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Pedro Vale Pinheiro,Fernando Boavidad image. Even in flat regions, the method can also extract enough keypoints. In the matching stage, g2NN matching skill is used which can also detect multiple forgeries. The experimental results show that the proposed method performs better than the state-of-the-art algorithms on the public database.

整理

V. Balasubramanian,J. K. Ladha,G. L. Denning stacked. In this paper, a new RG-based VSS with improved visual quality is proposed. The random bits are utilized to improve the visual quality as well as to decrease the darkness of the reconstructed secret image in the proposed scheme. Experimental results and analyses show the effectiveness of the proposed scheme.

機(jī)構(gòu)

Recapture Image Forensics Based on Laplacian Convolutional Neural NetworksNetworks structure and Laplacian filter is used in the signal enhancement layer. We test the proposed method on four kinds of small-size image databases. The experimental results have demonstrate that the proposed algorithm is effective. The detection accuracies for different image size database are all above?95%.

SHOCK

Privacy Monitorstance between the two liquid crystal layers, the size of the visible space can be controlled in such a way that larger distance will result in a smaller visible space, while smaller distance will result in a larger visible space.

SUE

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