An efficient chaos-based image compression and encryption scheme using block compressive sensing and elementary cellular automata

Chai, Xiuli; Fu, Xianglong; Gan, Zhihua; Zhang, Yushu; Gong, Mengxin; Chen, Yiran

doi:10.1007/s00521-018-3913-3

Cited by 100 publications

(56 citation statements)

References 60 publications

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“…Some research has been based on cellular automata that produce random patterns from simple rules. In [33], Xiuli et al introduced cellular automata and a compressed sensing-based CE algorithm in which a sensing matrix is constructed by a key-controlled chaotic map to produce good security results.…”

Section: Related Workmentioning

confidence: 99%

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Secured Color Image Compression based on Compressive Sampling and Lü System

Sundarakrishnan

Jaison²,

Raja³

2020

ITC

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An efficacious and unharmed approach is vital for transmission of sensitive and secret images over unsecure public Internet. In this paper, secured color image compression method based on compressive sampling and Lü system is proposed. Initially, the plain-image is sparsely represented in transform basis. Compressive sampling measurements are obtained from these sparse transform coefficients by employing incoherent sensing matrix. To upgrade the security level, permutation-substitution operations are performed on pixels based on Lü system. To concoct input sensitivity in the scheme, the keys are obtained from input image. Lastly, fast and efficient greedy algorithm is utilized for sparse signal reconstruction. To evaluate the performance of the proposed scheme Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM), Average Difference (AD), Structural Content (SC), Normalized Cross Correlation (NCC), Normalized Absolute Error (NAE), Edge Strength Similarity (ESSIM), Maximum Difference (MD), Correlation Coefficient, Unified Average Changing Intensity (UACI), Key Sensitivity, Number of pixel change Rate (NPCR), Key Space and Histogram metrics are used. Experimental results demonstrate that the proposed scheme produced highly satisfactory security.

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Section: Related Workmentioning

confidence: 99%

“…× 100% . (33) Histogram Analysis A histogram is distinctive for every image. Given that this statistical feature can be perceived and exploited by an attacker, a strong cryptosystem must provide a fairly uniform distribution of the pixel intensities of the ciphered image [27,31].…”

Section: Npcr and Uaci Analysismentioning

confidence: 99%

Secured Color Image Compression based on Compressive Sampling and Lü System

Sundarakrishnan

Jaison²,

Raja³

2020

ITC

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“…These characteristics can effectively improve the information security of image encryption system [8]- [9]. Therefore, many image encryption algorithms based on chaotic system have been proposed [10]- [11]. Because one-dimensional chaotic system is easy to realize, a variety of image encryption schemes are designed based on one-dimensional chaotic system.…”

Section: Introductionmentioning

confidence: 99%

A New Image Encryption Scheme Based on a Novel One-Dimensional Chaotic System

Wang

Liu

2020

IEEE Access

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This paper introduces a novel one-dimensional sine chaotic system (1DSCS) with large parameter interval. The evaluation of 1DSCS indicates that the system has good chaotic characteristics and large parameters space. Based on 1DSCS, a new image encryption scheme is proposed. First, the image is scrambled by the row and column indexes, and then scrambled by the dynamic parameters Arnold map. This scheme avoids the inadequacy of row-column index scrambling and the periodicity of Arnold map. Second, four highly sensitive dynamic diffusion formulas related to plaintext are designed, and the dynamic formulas are selected through the chaotic sequence generated by 1DSCS. Third, the scheme proposed in this paper can also be applied to color image encryption. The experimental results demonstrate that the 1DSCS system is suitable for image encryption and the encryption scheme has good security to resist common attacks.

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“…Due to the high correlation and redundancy of image pixels, how to compress the image for transmission has become an urgent problem. To solve this problem, many related algorithms are proposed [20]- [26]. Chai et al used block compressive sensing (CS) and elementary cellular automata to encrypt and compress images [20].…”

Section: Introductionmentioning

confidence: 99%

“…To solve this problem, many related algorithms are proposed [20]- [26]. Chai et al used block compressive sensing (CS) and elementary cellular automata to encrypt and compress images [20]. Li et al introduced joint image encryption and compression schemes based on 16×16 DCT [21].…”

Section: Introductionmentioning

confidence: 99%

Color Image Compression-Encryption Using Fractional-Order Hyperchaotic System and DNA Coding

et al. 2020

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Recently, many encryption algorithms based on fractional-order chaotic system have been proposed to solve the problem of image encryption. In this paper, we propose a novel color image compression-encryption algorithm based on fractional-order hyperchaotic system and DNA coding. In the data compression stage, the data of R, G, and B channels of the color image are converted to the frequency domain by two-dimensional discrete cosine transform (DCT), and then the amount of encrypted data is reduced by the quantization process. We design a data processing algorithm to ensure that the data after DCT is compatible with DNA coding data format. In the encryption stage, the processes of DNA encoding and decoding, DNA operation, and pixel scrambling are all controlled by the corresponding chaotic sequences, which are generated by the chaotic system. The original image is used to calculate the initial state of the chaotic system, which improves the performance of the algorithm against the chosen-plaintext attack significantly. Experimental results and security analysis illustrate that the proposed algorithm has excellent compression and security performance. It can not only reconstruct the original image well under the condition of low compression ratio, but also provide high security to resist various attacks. Besides, experimental results also indicate that the algorithm proposed can be applied to the fields of color image compression, encryption, and transmission. INDEX TERMS Color image encryption, DNA encoding, fractional-order hyperchaotic system, discrete cosine transform(DCT), image compression.

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An efficient chaos-based image compression and encryption scheme using block compressive sensing and elementary cellular automata

Cited by 100 publications

References 60 publications

Secured Color Image Compression based on Compressive Sampling and Lü System

Secured Color Image Compression based on Compressive Sampling and Lü System

A New Image Encryption Scheme Based on a Novel One-Dimensional Chaotic System

Color Image Compression-Encryption Using Fractional-Order Hyperchaotic System and DNA Coding

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