基于LWT和Arnold映射的不同子带图像水印性能分析

Sushma Jaiswal, M. Pandey
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引用次数: 0

摘要

本文提出了一种基于LWT和Arnold映射的灰度图像盲水印方法。综合分析了不同子带的鲁棒性和不可感知性,确定了针对不同攻击的鲁棒子带,设计了抗故意攻击或组合攻击的鲁棒系统。在几个子带中嵌入水印的重要性已经被研究,以增加对各种图像攻击的鲁棒性,同时保持合理的不可感知性水平。在研究过程中,分析了鲁棒性,并观察了诸如压缩攻击、噪声攻击、去噪攻击和几何攻击等攻击的数量。此外,更高的子带可以提供良好的不可感知性,并且鲁棒性性能取决于攻击的性质。人们还注意到,整个攻击以不同的方式影响水印图像。使用标准图像数据集来测试建议的概念,发现子带1对不同图像攻击的强度(鲁棒性)和不可感知性具有令人钦佩的性能。
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Performance Analysis of Image Watermarking for Different Sub-bands Using LWT and Arnold Map
In this paper, blind image watermarking is proposed for grey-scale images using LWT and Arnold maps. A comprehensive analysis of robustness and imperceptibility for different sub-band is analyzed, and a robust sub-band against different attacks is determined for designing a system robust against intentional attacks or combined attacks. The importance of embedding a watermark in several sub-bands has been examined to increase the robustness against various image attacks while retaining a reasonable level of imperceptibility. During the study, robustness is analyzed and watched against the number of attacks such as compression attacks, noisy attacks, de-noising attacks, and geometric attacks. It is moreover seen that higher sub-bands are seen to offer good imperceptibility, and robustness performance depends on the nature of attacks. It has also been noticed that entire attacks affect the watermarked image in a different way. A standard image dataset is used to test the suggested concept, and it is discovered that sub-band 1 performs admirably for strength (robustness) and imperceptibility against different image attacks.
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来源期刊
Transactions on Electrical Engineering, Electronics, and Communications
Transactions on Electrical Engineering, Electronics, and Communications Engineering-Electrical and Electronic Engineering
CiteScore
1.60
自引率
0.00%
发文量
45
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