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Titlebook: Digital-Forensics and Watermarking; 13th International W Yun-Qing Shi,Hyoung Joong Kim,Ching-Nung Yang Conference proceedings 2015 Springer

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41#
發(fā)表于 2025-3-28 16:33:13 | 只看該作者
Women in Organized Crime in Japant this approach adopted in Phase 1 of the first IEEE IFS-TC Image Forensics Challenge, in which the task is to classify the tampered images from the original ones, together with the experimental results. Several different kinds of statistical features and their combinations have been tested. Finally
42#
發(fā)表于 2025-3-28 20:29:11 | 只看該作者
43#
發(fā)表于 2025-3-29 02:04:33 | 只看該作者
44#
發(fā)表于 2025-3-29 03:53:48 | 只看該作者
Concluding Remarks and Future DirectionsToday’s methods for building sensor fingerprints do rely on having a sufficient number of camera reference images. But, there is no clear answer to the question of how many camera reference images are really needed? In this paper, we will analyze and find out how to determine the minimum needed numb
45#
發(fā)表于 2025-3-29 11:16:49 | 只看該作者
46#
發(fā)表于 2025-3-29 15:01:42 | 只看該作者
Econometric applications and resampling,sed on a primary key attribute in order to determine the selected tuples and attributes to carry the watermark bits. What happens, however, when the primary key attribute does not exist for a relational database? In this paper, we propose a blind robust reversible watermarking scheme for a textual r
47#
發(fā)表于 2025-3-29 15:46:11 | 只看該作者
Law of the iterated logarithm (LIL),to synthesize arbitrary virtual views from color-plus-depth 3D data. In this work, a novel semi-blind watermarking scheme is proposed to protect DIBR 3D images. The watermarking system utilizes image descriptors as side information to compensate the distortion produced by DIBR operations. The compen
48#
發(fā)表于 2025-3-29 21:14:41 | 只看該作者
49#
發(fā)表于 2025-3-30 00:48:06 | 只看該作者
50#
發(fā)表于 2025-3-30 07:26:28 | 只看該作者
Work Disability: It is not just the “l(fā)esion”bustness. The resulting watermarking schemes belong to the transform-domain watermarking schemes. Experiment results show that, among the five transforms, random DFRFT (RDFRFT) is most robust to cropping attack as well as salt-and-pepper noise attack. In general, the two real transforms, real DFRFT
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