一种基于真随机数和二维量子漫步的图像加密量子可逆色灰转换方案

IF 3.4 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Nianqiao Li, Zhenjun Tang
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引用次数: 0

摘要

可逆彩色到灰度转换(RCGC)是一种将彩色图像转换为灰度的方法,同时保留足够的信息,以便在需要时重建原始彩色图像。本研究提出一种整合量子加密技术的量子RCGC (QRCGC)方案。该方案首先使用有限数量的真随机数作为种子,然后使用二维量子行走系统对其进行扩展,以生成足够大的随机矩阵,以便对原始图像进行逐位异或操作。随后,提出了一种量子混淆技术,结合量子块阿诺德置乱、循环移位和子序列交换,并行提高了密钥与密文之间关系的复杂性。此外,设计了一种量子扩散技术,通过二维量子行走系统有效地生成哈希值来验证图像的完整性。这些散列值被用作混沌系统中基于内容的密钥输入,以生成用于扩散图像信息的量子安全矩阵。最后,设计了一种量子双向转换操作,实现了彩色图像与灰度图像之间的无损可逆转换。实验结果表明,QRCGC方案在安全性、效率和信息保留方面具有显著的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A quantum reversible color-to-grayscale conversion scheme via image encryption based on true random numbers and two-dimensional quantum walks
Reversible Color-to-Grayscale Conversion (RCGC) is a method for converting color images to grayscale while retaining sufficient information to reconstruct the original color image when needed. This study proposes a Quantum RCGC (QRCGC) scheme that integrates quantum encryption techniques. The scheme first uses a finite number of true random numbers as seeds, which are then extended using a two-dimensional quantum walks system to generate sufficiently large random matrices for performing bitwise XOR operations with the original image. Subsequently, a quantum confusion technique is proposed, combining quantum block Arnold scrambling, cyclic shifts, and subsequence exchanges, which enhances the complexity of the relationship between the keys and the ciphertext in parallel. Additionally, a quantum diffusion technique is designed, efficiently generating hash values via a two-dimensional quantum walks system to verify image integrity. These hash values are used as content-based key inputs in a chaotic system to generate quantum secure matrices for diffusing the image information. Finally, a quantum bidirectional conversion operation is designed to achieve lossless reversible conversion between color and grayscale images. Experimental results show that the QRCGC scheme demonstrates significant advantages in terms of security, efficiency, and information retention.
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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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