基于 PSO 的四元数傅立叶变换隐写术:通过多维频率嵌入提高不可感知性和鲁棒性

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Parsa Parsafar
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引用次数: 0

摘要

本文提出了一种新颖的隐写技术,利用四维频域中的四元数傅里叶变换(QFT)来增强数字图像嵌入的不可感知性和稳健性。隐写术是一种在媒体中隐藏信息的艺术,它面临着平衡安全性、不可感知性和稳健性的挑战。为此,我们利用四元数的多维特性,在灰度和彩色图像中嵌入秘密数据。对于灰度图像,强度和秘密数据使用两个四元数维度,而对于彩色图像,则使用所有四个维度,并为元数据保留一个维度。研究问题的核心是如何最大限度地提高空间分散性和色彩相似性,同时保持较高的不可感知性和抗击攻击的鲁棒性。实验结果表明,与最先进的现有技术相比,所提出的方法将视觉不可感知性提高了 4% 以上,对常见隐写分析攻击的鲁棒性提高了 13%。这些进步凸显了该方法在安全通信、数字水印和版权保护方面的应用潜力。通过将四元数学框架与新颖的优化策略相结合,这种方法大大改进了传统的隐写方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

PSO-based Quaternion Fourier Transform steganography: Enhancing imperceptibility and robustness through multi-dimensional frequency embedding

PSO-based Quaternion Fourier Transform steganography: Enhancing imperceptibility and robustness through multi-dimensional frequency embedding
This paper presents a novel steganography technique using the Quaternion Fourier Transform (QFT) in the 4D frequency domain to enhance imperceptibility and robustness in digital image embedding. Steganography, the art of hiding information within media, faces challenges in balancing security, imperceptibility, and robustness. To address this, we leverage the multi-dimensional properties of quaternions, enabling the embedding of secret data in both grayscale and color images. For grayscale images, two quaternion dimensions are utilized for intensity and secret data, while for color images, all four dimensions are employed with one reserved for metadata. The research question centers on how to maximize spatial dispersion and color similarity while maintaining high imperceptibility and robustness against attacks. Experimental results show that the proposed method improves visual imperceptibility by more than 4 % and exhibits a 13 % increase in robustness against common steganalysis attacks compared to the best state-of-the-art existing technique. These advancements highlight the potential of this method for applications in secure communication, digital watermarking, and copyright protection. By combining the quaternion mathematical framework with a novel optimization strategy, this approach significantly improves upon traditional steganography methods.
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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