Multiple-image encryption based on double random phase encoding and compressive sensing by using a measurement array preprocessed with orthogonal-basis matrices

Zhang, Luozhi; Zhou, Yuanyuan; Huo, Dongming; Li, Jinxi; Zhou, Xin

doi:10.1016/j.optlastec.2018.03.004

Cited by 29 publications

(13 citation statements)

References 35 publications

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“…Zhong [42] et al presented a dual-image cryptosystem by adopting random-phase encoding. Zhang [37] et al designed a many-image cipher scheme utilizing the orthogonal basis matrix and double random-phase encoding, where images are encrypted in parallel. Their algorithm strongly resists occlusion attacks, though the computation cost is higher.…”

Section: Related Workmentioning

confidence: 99%

A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

SundaraKrishnan

Sp²,

Jaison³

2021

ITC

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The transmission of significant masses of sensitive and secret images over a public network is inevitable, and demands effective tools and technology to safeguard and conceal the data. In this paper, a symmetric multiple color image encryption technique is proposed by adopting a dual permutation and dual substitution framework. Firstly, the input images are combined into a large image and then segmented into many small and equal-sized pure-image elements. Secondly, using the elementary cellular automata Rule-30, these pure-image elements are permuted to obtain mixed-image elements. Thirdly, second-level permutation is undertaken on the mixed-image elements by applying zigzag pattern scanning. Fourthly, pixel values are substituted by employing the circular shift method; subsequently, second-level pixel substitution is realized through using chaotic random sequences from a 2D logistic map. Finally, the big encrypted image is segmented into smaller encrypted images. Additionally, the keys are calculated from the input images to attain input sensitivity. The efficiency of this method is quantified, based on the unified average changing intensity (UACI), information entropy, number of pixels change rate (NPCR), key sensitivity, key space, histogram, peak signal-to-noise ratio (PSNR) and correlation coefficient (CC) performance metrics. The outcome of the experiments and a comparative analysis with two similar methods indicate that the proposed method produced high security results.

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Section: Related Workmentioning

confidence: 99%

A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

SundaraKrishnan

Sp²,

Jaison³

2021

ITC

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“…However, References [7,8] adopt the classical substitution-permutation network, which are similar to the proposed algorithm. Although the algorithms in References [9][10][11][12][13][14][15] are MIE algorithms, these MIE algorithms are designed with the features of optical images, which are not suitable for encrypting digital images. Therefore, this paper compares the proposed algorithm with the algorithms in References [7,8,[16][17][18][19][20][21].…”

Section: Existing Similar Algorithmsmentioning

confidence: 99%

“…Xiong et al presented an MIE algorithm in the Fourier domain [11]. Zhang et al presented an MIE algorithm with compressive sensing [12]. Li et al designed an MIE algorithm with the lifting wavelet transform [13].…”

Section: Introductionmentioning

confidence: 99%

Multiple-Image Encryption Algorithm Based on the 3D Permutation Model and Chaotic System

Zhang

Wang

2018

Symmetry

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Large numbers of images are produced in many fields every day. The content security of digital images becomes an important issue for scientists and engineers. Inspired by the magic cube game, a three-dimensional (3D) permutation model is established to permute images, which includes three permutation modes, i.e., internal-row mode, internal-column mode, and external mode. To protect the image content on the Internet, a novel multiple-image encryption symmetric algorithm (block cipher) with the 3D permutation model and the chaotic system is proposed. First, the chaotic sequences and chaotic images are generated by chaotic systems. Second, the sender permutes the plain images by the 3D permutation model. Lastly, the sender performs the exclusive OR operation on permuted images. The simulation and algorithm comparisons display that the proposed algorithm possesses desirable encryption images, high security, and efficiency.

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“…The scheme transformed the original image in different spectra based on the use of the discrete cosine transform, and used the nonlinear fractional Mellin transform to the composite spectrum composed of the spectrum of the original (encrypted) image. Other researchers [4][5][6] designed new image encryption and decryption schemes by using elements of the River-Shamir-Adleman (RSA) algorithm Entropy 2021, 23, 291 2 of 25 combined with bitwise binary operations, quaternary fractional-linear transformations, and projective transformation. Experiments showed that these algorithms are effective for images with clearly defined contours.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Scheme with Compressed Sensing Based on a New Six-Dimensional Non-Degenerate Discrete Hyperchaotic System and Plaintext-Related Scrambling

Sun

Wang

Zhao

2021

Entropy

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Digital images can be large in size and contain sensitive information that needs protection. Compression using compressed sensing performs well, but the measurement matrix directly affects the signal compression and reconstruction performance. The good cryptographic characteristics of chaotic systems mean that using one to construct the measurement matrix has obvious advantages. However, existing low-dimensional chaotic systems have low complexity and generate sequences with poor randomness. Hence, a new six-dimensional non-degenerate discrete hyperchaotic system with six positive Lyapunov exponents is proposed in this paper. Using this chaotic system to design the measurement matrix can improve the performance of image compression and reconstruction. Because image encryption using compressed sensing cannot resist known- and chosen-plaintext attacks, the chaotic system proposed in this paper is introduced into the compressed sensing encryption framework. A scrambling algorithm and two-way diffusion algorithm for the plaintext are used to encrypt the measured value matrix. The security of the encryption system is further improved by generating the SHA-256 value of the original image to calculate the initial conditions of the chaotic map. A simulation and performance analysis shows that the proposed image compression-encryption scheme has high compression and reconstruction performance and the ability to resist known- and chosen-plaintext attacks.

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Multiple-image encryption based on double random phase encoding and compressive sensing by using a measurement array preprocessed with orthogonal-basis matrices

Cited by 29 publications

References 35 publications

A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

Multiple-Image Encryption Algorithm Based on the 3D Permutation Model and Chaotic System

Image Encryption Scheme with Compressed Sensing Based on a New Six-Dimensional Non-Degenerate Discrete Hyperchaotic System and Plaintext-Related Scrambling

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