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Informed Histogram-Based Watermarking

delete2020-01-01
delete22
PRE
AI
G
Guang Hua *
Yong Xiang 封面图
Yong Xiang (Yong Xiang)
L
Leo Yu Zhang
DOI:10.1109/LSP.2020.2965331delete
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摘要

摘要

En 中文
The existing works on histogram-based watermark embedding share the common notions of non-informed random host sample selection and uniform embedding, resulting in limited and yet similar performances. This letter develops two methods to improve imperceptibility and robustness of histogram-based embedding. We first propose a content-aware method which performs uniform embedding in ranked energy-significant regions of the host signal. We show that the embedded ternary watermark signal is more likely to be masked by the strong host signal component, thus improving imperceptibility without compromising robustness. Further, a non-uniform embedding method is proposed, which modifies host samples according to their relationships with the center of the target histogram bin. It ensures minimum host sample modifications without reducing the payload size. Meanwhile, watermark robustness could also be improved since it becomes the most difficult to move samples at bin centers into other bins via attacks. The proposed methods are supported by extensive experimental results.
Keyword:
Histogram
watermarking
desynchronization
imperceptibility
robustness
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Signal Processing Magazine 封面图
IEEE Signal Processing Magazine
IF:
9.6
论文数:
1.1W
被引数:
1.7W

机构

D
Deakin University
学者数:
2.0W
论文数: 2.1W
被引数: 2.8W
W
wuhan university
学者数:
8.1W
论文数: 5.8W
被引数: 70
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