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Titlebook: Advances in Multimedia Information Processing — PCM 2002; Third IEEE Pacific R Yung-Chang Chen,Long-Wen Chang,Chiou-Ting Hsu Conference pro

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樓主: Ferret
21#
發(fā)表于 2025-3-25 05:00:50 | 只看該作者
R. B. Bapat,K. Manjunatha?Prasadleads to a poorly watermarked image. To overcome this problem we introduce the concept of informed coding by embedding a slightly weaker watermark into the image so that both transparency and robustness can be achieved. Experimental results demonstrate that the resulting watermark is robust to a variety of image processing attacks.
22#
發(fā)表于 2025-3-25 09:13:31 | 只看該作者
R. B. Bapat,K. Manjunatha?Prasadigher data embedding rate than most of the current transform domain embedding methods. Furthermore, not only gray images but also color ones can be used as cover images for covert communications. The hidden information can be either an image or a text. The experiment result shows good performance and prospect of our technique.
23#
發(fā)表于 2025-3-25 14:31:37 | 只看該作者
24#
發(fā)表于 2025-3-25 16:11:34 | 只看該作者
Rank Theorems and Primitive Elementser is found closer to the global minimum, thus the center-biased algorithm can find the motion vector more efficiently. Simulation results show that the proposed algorithm enhances the accuracy of BMA as well as reduces their computational requirement.
25#
發(fā)表于 2025-3-25 23:26:22 | 只看該作者
https://doi.org/10.1007/978-0-387-21724-6lts show that the proposed algorithm can reduce the complexity of block motion estimation algorithm significantly with only marginal performance penalty. The proposed algorithm can be used in combination with full-search or other fast search algorithms.
26#
發(fā)表于 2025-3-26 03:50:54 | 只看該作者
27#
發(fā)表于 2025-3-26 04:20:03 | 只看該作者
28#
發(fā)表于 2025-3-26 12:03:03 | 只看該作者
29#
發(fā)表于 2025-3-26 13:45:11 | 只看該作者
30#
發(fā)表于 2025-3-26 18:13:26 | 只看該作者
Rank Theorems and Primitive Elements order to select an appropriate search pattern, we exploit the relationship between the motion vector and the block differences. By changing the search pattern adaptively, we improve motion prediction accuracy while reducing required computational complexity compared to other fast block-matching algorithms.
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