An Enhanced Dynamic Image Watermarking Framework based on Phase Congruency and Saliency

Manas Ranian Nayak, Dinak Kumar Sahoo, Jyotiprakash Sahoo, L. M. Satapathy, Prabhu Prasad Dev
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Abstract

Perceptual watermarking approaches achieve better image fidelity with the advantages of the Human Visual System (HVS). Saliency uses the advantages of this feature by identifying different visually perceptual regions of an image. Additionally, Phase congruency (PC) exploits those features of digital images by detecting the corner points. In the proposed method, the information hiding Capacity is generated from both bit depth maps created by comparing phase congruency results and saliency outcomes of an image that ascertains the low perceptually visible pixels (utilizing the Least Significant Bit (LSB) technique). The key idea is to ensure an additional layer of security using Symmetric Key Cryptography (SKC) and to hide information in a less observant area that is not easily perceptible inside the cover image. The experimental result analysis ensures better imperceptibility and robustness as it resists different attacks along with superior data hiding capacity.
一种基于相位一致性和显著性的增强动态图像水印框架
感知水印方法利用人类视觉系统(HVS)的优势,实现了较好的图像保真度。显著性通过识别图像的不同视觉感知区域来利用这一特征的优势。此外,相位一致性(PC)通过检测角点来利用数字图像的这些特征。在所提出的方法中,信息隐藏能力是由通过比较相位一致性结果和确定低感知可见像素(利用最低有效位(LSB)技术)的图像的显著性结果创建的位深度图生成的。关键思想是使用对称密钥加密(SKC)确保额外的安全层,并将信息隐藏在不太显眼的区域,这些区域在封面图像中不易察觉。实验结果分析表明,该算法具有较好的不可感知性和鲁棒性,能够抵抗各种攻击,同时具有较强的数据隐藏能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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