一种面向解谜矩阵的可逆对偶图像秘密共享方案

IF 3.4 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Yijie Lin , Jui‐Chuan Liu , Ching-Chun Chang , Chin‐Chen Chang
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引用次数: 0

摘要

双图像可逆数据隐藏是信息安全领域的一个专门研究方向。秘密信息嵌入到原始图像使用可逆数据隐藏的图像信号处理算法。这个过程生成两个共享图像,与原始图像无法区分,每个共享图像分发给不同的接收者。只有通过接收方之间的协作,才能完全恢复原始图像和秘密信息。提出了一种基于参考矩阵的双图像可逆数据隐藏方案。来自两个共享图像的像素对协作并使用拼图矩阵嵌入6位;因此,实现高达每像素1.5位的嵌入率。实验结果表明,该方案具有较高的嵌入容量,最高可达786,432位,视觉质量好,执行速度快等优点。与其他先进的双图像可逆数据隐藏方案相比,我们的优势主要在于更大的嵌入容量。在相同的嵌入容量下,与之前提出的方案相比,我们提出的方案具有更好的视觉质量和更快的执行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A puzzle matrix oriented secret sharing scheme for dual images with reversibility
Dual image reversible data hiding is a specialized research direction in the field of information security. Secret messages are embedded into the original image using an image signal processing algorithm for reversible data hiding. This process generates two share images, indistinguishable from the original image, and each distributed to different receivers. Only through collaboration between the receivers can the original image and secret message be fully recovered. A dual image reversible data hiding scheme is proposed based on a reference matrix. The pixel pairs from the two share images collaborate and result in embedding 6 bits using the puzzle matrix; thus, achieving an embedding rate of up to 1.5 bits per pixel. Experimental results demonstrate that the proposed scheme offers a high embedding capacity of up to 786,432 bits, good visual quality, and fast execution time. Compared to other state-of-the-art dual image reversible data hiding schemes, our advantage mainly lies in the larger embedding capacity. Compared with a previously proposed scheme with the same embedding capacity, our proposed scheme provides better visual quality and faster execution time.
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来源期刊
Signal Processing
Signal Processing 工程技术-工程:电子与电气
CiteScore
9.20
自引率
9.10%
发文量
309
审稿时长
41 days
期刊介绍: Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing. Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.
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