Quantum image encryption based on generalized Arnold transform and double random-phase encoding

Zhou, Nan; Hua, Tian Xiang; Gong, Li Hua; Pei, Dong Ju; Liao, Qinghong

doi:10.1007/s11128-015-0926-z

Cited by 201 publications

(57 citation statements)

References 40 publications

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“…19 and compared with that in references [15,17,22,23] as can be seen from Table 3. These coefficients are calculated for Lena, Peppers, and Greens ciphered images and all have the same size of 256 × 256 pixels.…”

Section: Correlation Coefficientsmentioning

confidence: 99%

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Colored image encryption and decryption using multi-chaos 2D quadratic strange attractors and matrix transformations

Alsaedi

2016

Multimed Tools Appl

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Data security is an increasingly important issue. In this paper, a scheme to encrypt and decrypt colored images is presented in which two random secret keywords are used as parameters for quadratic maps with strange attractors. The scheme uses the well-known chaotic trait of sensitivity to initial conditions to ensure that the receiver generates the same sequences. After forming the quadratic maps and zeros removal from both maps, three codebooks are formed one from the original image and two from the two images of the quadratic maps. The input colored image is decomposed into three components and quantized using two of the three codebooks. The resulting image is subjected to partial extended Arnold's transform then to Gould transformation to hide image traces. The partial extended Arnold's matrix which is subjected to a determinant condition is studied for possible number of rotations for specific sizes of sub-blocks taken from a random image and then the results are used for encryption and decryption of different colored images. Then, the pixels of the components are shifted cyclically with a predefined number of shifts and quantized using the third codebook with maximum MSE. The results from the statistical analysis show that the pixels correlation is very low and the ciphered image is well shuffled. Also, the decrypted images have high PSNR at the receiver. Furthermore, compariosns with other schemes in the literature show that the performance of the proposed algorithm is high.

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Section: Correlation Coefficientsmentioning

confidence: 99%

“…Comparisons of horizontal, vertical and diagonal of correlation coefficients of the proposed algorithm and that in references[15,17,22,23] …”

mentioning

confidence: 99%

Colored image encryption and decryption using multi-chaos 2D quadratic strange attractors and matrix transformations

Alsaedi

2016

Multimed Tools Appl

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“…Image encryption algorithms, based on coupled 1D chaotic maps which has more complex chaotic behaviors than their original 1D chaotic maps, were designed [7,19,20,29]. Due to the complex structure, MD chaotic systems have found an increasingly large amount of applications in image encryption schemes [9,23,30]. MD hyper-chaotic systems with more complex dynamical characteristics than general chaotic systems were investigated [12,18,22].…”

Section: Introductionmentioning

confidence: 99%

A new image cryptosystem based on 2D hyper-chaotic system

Yuan

Liu

Gong

et al. 2016

Multimed Tools Appl

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An efficient image encryption scheme is designed based on 2D hyper-chaotic system. Different from the traditional chaos-based image encryption schemes, the confusion and the diffusion procedures of the proposed scheme are interacted on each other. In the encryption process, the position of the present pixel is influenced by the last diffused one. Then the corresponding diffused pixel makes a difference in the next pixel. By contrast with the traditional chaos-based image cryptosystems, the proposed cryptosystem with the interacted structure is steadier and harder to decipher. In addition, 2D hyper-chaotic systems are employed in the quicker generation of chaotic sequences in comparison to high-dimensional hyper-chaotic systems. Simulation results verify the security and effectiveness of this scheme.

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“…With the development of multimedia and network, the problem of information security is becoming more and more important [1][2][3][4][5][6][7][8]. Image hiding technique has become an important tool to realize image protection.…”

Section: Introductionmentioning

confidence: 99%