@inproceedings{7fd0ffc5526a4536a1475e57f640a99d,
title = "A multi-channel framework for image watermarking",
abstract = "In this paper, a novel multi-channel image watermarking framework which is able to resist geometric attacks is proposed, and a spatial domain watermarking scheme which benefits from this framework shows a high robustness to geometric attacks. This spatial domain watermarking scheme generates a watermarking template from image channels data, and then this watermarking template is embedded into the image. Because both the watermarking template and watermarking image undergo a similar geometric attack, self-synchronization can be obtained in the procedure of detecting watermarking. Experimental results demonstrate that this spatial watermarking produced by the multi-channel framework achieves a high performance of robustness even if an image undergoes some serious geometric distortion attacks.",
keywords = "Geometrical attacks, Image watermarking, Multi-channel framework, Robustness",
author = "Zheng, {Jiang Bin} and Feng, {David Dagan} and Zhao, {Rong Chun}",
year = "2005",
language = "英语",
isbn = "078039092X",
series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
pages = "5099--5104",
booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",
}