Visually meaningful image encryption using data hiding and chaotic compressive sensing

Ponuma, R.; Amutha, R.; Aparna, S.; Gopal, Gayatri

doi:10.1007/s11042-019-07808-6

Cited by 33 publications

(16 citation statements)

References 19 publications

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“…Because both References 29 and 40 performed experiment on one image each time, to achieve the same effect, we also embed just one image with same compressive ratio in the comparison. According to the experimental data 35 in Table 4, it can be seen that the values of the PSNR are larger using our algorithm. So, the quality of the image reconstruction in this article is higher.…”

Section: Security Analysismentioning

confidence: 90%

A novel multi‐image visually meaningful encryption algorithm based on compressive sensing and Schur decomposition

Pan

Dong

et al. 2020

Trans Emerging Tel Tech

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Image encryption algorithm is an important telecommunication technology for protecting personal security. In this article, we propose a novel multi‐image visual encryption algorithm based on compressive sensing (CS) and Schur decomposition. First, multiple images are sparsed by a discrete wavelet transform, and the compressed images are obtained by zigzag confusion and CS. Second, these compressed images are combined according to random sequences and scrambled again to obtain the secret image. Third, the carrier image is subjected to a two‐level lifting wavelet transform where the low‐frequency and high‐frequency subbands are selected to perform a discrete cosine transform (DCT). Fourth, Schur decomposition is employed on the secret image to calculate an upper triangular matrix and a unitary matrix (orthogonal matrix) to be embedded into the DCT coefficients of the previous low‐frequency and high‐frequency subbands, respectively. With an inverse transformation, the final visually meaningful encrypted image is achieved. Here, the initial position of the zigzag confusion is related to the plain image, which can effectively resist known‐plaintext and chosen‐plaintext attacks. The simulation results demonstrate that the proposed algorithm has high security and good imperceptibility.

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Section: Security Analysismentioning

confidence: 90%

A novel multi‐image visually meaningful encryption algorithm based on compressive sensing and Schur decomposition

Pan

Dong

et al. 2020

Trans Emerging Tel Tech

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“…is approach is further enhanced in [115] by making it visually meaningful. Wavelet transform is utilized to hide the encrypted image into a cover image.…”

Section: Compressive Sensing-based Image Encryptionmentioning

confidence: 99%

Computational Image Encryption Techniques: A Comprehensive Review

Kaur

Singh

Kaur

2021

Mathematical Problems in Engineering

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Images contain very sensitive and confidential information. Because images play a significant role in many applications such as military communication, remote-sensing, and medical-imaging, therefore, it is necessary to protect sensitive and confidential information from unauthorized use and modification. To achieve this objective, encryption is one of the best methods among the information hiding methods. In recent years, many image encryption approaches are designed by the researchers. They use different concepts for image encryption to increase security. The main aim of this paper is to present a comprehensive review of the existing image encryption approaches. These approaches are categorized based on different concepts such as chaotic maps, DNA, compressive sensing, and optical image encryption. Comparisons are made among the existing approaches to access the various security parameters. Key performance metrics are also presented. The future scope of image encryption is also presented to encourage the research community.

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“…To a certain extent, the security of plaintext images was improved. Based on this encryption framework, many visually meaningful image encryption algorithms have been proposed [22][23][24][25][26][27][28][29][30]. Pan et al [28] proposed a new, visually meaningful image encryption method based on compressed sensing.…”

Section: Introductionmentioning

confidence: 99%

Visually Meaningful Image Encryption Scheme Based on DWT and Schur Decomposition

Dong

Huang

2021

Security and Communication Networks

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A visually meaningful image encryption scheme with an asymmetric structure based on the discrete wavelet transform (DWT) and Schur decomposition is proposed in this study. First, the RSA algorithm is used to generate the initial values for the chaotic system to produce the random sequence. Then, both scrambling and diffusion operations are performed on the plain image to obtain the preencrypted image. Moreover, the Schur decomposition is applied on the preencrypted plain image to obtain the upper triangular and orthogonal matrices. Second, the cover image is scrambled followed by a DWT operation. Four subbands are then formed, namely, LL, HL, LH, and HH. Finally, the former upper triangular matrix and orthogonal matrix are embedded into subbands LH and HH produced by the cover image. After the application of the inverse DWT and inverse scrambling operation, the final visually meaningful cover image embedded with a secret plain image can be obtained. No one can identify any useful information about the plain image from the final embedded cover image, nor can anybody know that there is any hidden secret image. Experimental simulations show that the normalized correlation values between the original cover image and the final visually meaningful cover image are approximately 0.9997. Therefore, the proposed encryption scheme is imperceptible for secret image communications.

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Visually meaningful image encryption using data hiding and chaotic compressive sensing

Cited by 33 publications

References 19 publications

A novel multi‐image visually meaningful encryption algorithm based on compressive sensing and Schur decomposition

A novel multi‐image visually meaningful encryption algorithm based on compressive sensing and Schur decomposition

Computational Image Encryption Techniques: A Comprehensive Review

Visually Meaningful Image Encryption Scheme Based on DWT and Schur Decomposition

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