Visually meaningful image encryption based on universal embedding model

Yang, Yu‐Guang; Wang, Bao-Pu; Yang, Yongli; Zhou, Yi‐Hua; Shi, Wei‐Min; Liao, Xin

doi:10.1016/j.ins.2021.01.041

Cited by 41 publications

(8 citation statements)

References 48 publications

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“…Distribution of pixel values in natural images can be characterized directly by a histogram [57]. Generally speaking, natural image histograms are unevenly distributed and have extraordinary characteristics.…”

Section: Histogram Analysismentioning

confidence: 99%

Visually meaningful image encryption scheme using multi-parameter fractal theory and block synchronous sorting diffusion

Gan

Sun

et al. 2023

Phys. Scr.

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Traditional visually meaningful image encryption (VMIE) works by embedding a secret image (SI) into a visually meaningful carrier image (CAI), thus achieving the dual protection of both data information and appearance features. However, the current VMIE algorithm still suffers from problems of reconstruction quality and transmission efficiency. To address these issues, this paper proposes an innovative VMIE algorithm that utilizes a newly designed two-dimensional hyperchaotic map, multi-parameter fractal matrix (MPFM) theory and compressive sensing. The proposed algorithm achieves dual protection of both the semantic information and appearance image data. First, a newly designed 2D infinite triangle folding map (2D-ITFM) is presented to generate a binary key-controlled measurement matrix to measure and compress a plain image (PI) to generate measured image (MI) and decrease the amount of transmission information. Next, based on the hyperchaotic map 2D-ITFM and MPFM, we present the inter-block scrambling (IBS) algorithm and intra-block synchronous sorting diffusion (IBSSD) algorithm, which are used to process the MI and generate SI. Then, the matrix encoding embedding (MEE) technique is utilized to hide the SI into the CAI to produce a visually secure cipher image (CII). Finally, the experimental results demonstrate that our scheme is effective in improving the anti-attack ability while guaranteeing good imperceptibility and reconstruction performance. This scheme can be employed in the field of information security communication.

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Section: Histogram Analysismentioning

confidence: 99%

Visually meaningful image encryption scheme using multi-parameter fractal theory and block synchronous sorting diffusion

Gan

Sun

et al. 2023

Phys. Scr.

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“…Schur decomposition was applied to the encrypted image and embedded through DWT. Yang et al [29] proposed a universal embedding model based VMEI technique. In this, a secret image was encrypted by using traditional encryption and dynamically embedded through IWT.…”

Section: A Improvement In Embedding Techniquementioning

confidence: 99%

Systematic Survey on Visually Meaningful Image Encryption Techniques

et al. 2022

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Due to advancements in technology, digital images are widely used in various applications like medical field, military communication, remote sensing, etc. These images may contain sensitive and confidential information. Therefore, images are required to be protected from unauthorized access. Many image protection techniques have been proposed in past years. The most common technique to protect the images is encryption. In this technique, a secret key and an encryption algorithm are used to change the plain image into an encrypted image. The encrypted image looks like a noisy image and can easily attracts the attacker's attention. If image gets captured and stacked, sensitive information can be revealed. In this regard, Visually Meaningful Encrypted Image (VMEI) technique is developed, which initially encrypts the original image and then hides it into a reference image. The final encrypted image looks like a normal image. Hence, VMEI technique provides more security as compared to simple image encryption techniques. Therefore, a systematic survey on existing VMEI techniques is presented in this paper. The VMEI techniques are divided into different categories based on their characteristics. Moreover, this paper elaborates and investigates the improvements and analyses performed on VMEI techniques based on various evaluation parameters. These evaluation parameters are divided into different categories such as security attacks, encryption key attacks, quality analysis, and noise attacks. Finally, this paper discusses the potential applications and the future challenges of VMEI techniques.

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“…Since Bao et al proposed the VMIE algorithm, researchers have proposed many VMIE algorithms [14][15][16][17][18]. For instance, Chai et al [14] introduced CS into VMIE.…”

Section: Introductionmentioning

confidence: 99%

Verifiable visually meaningful image encryption algorithm based on compressive sensing and (t, n)-threshold secret sharing

Yang,

Wang,

Zhou

et al. 2024

Phys. Scr.

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A verifiable visually meaningful image encryption algorithm based on compressive sensing and (t, n)-threshold secret sharing is proposed. Firstly, the plain image is compressed and encrypted by 2D block compressive sensing to obtain the pre-encrypted image. During this process, the enhanced logistic map and the enhanced tent map are used to generate the measurement matrix and the permutation sequence, respectively. Secondly, multiple shadow images of the pre-encrypted image are generated by using the (t, n)-threshold secret sharing scheme, and then each shadow image is further encrypted by using the encryption matrix generated by the chaotic system. Meanwhile, the signatures of the shadow images are obtained by using RSA signature algorithm. Finally, the shadow images and their corresponding signatures are embedded into the carrier image to generate the cipher image with high visual quality by using the LSB method. Additionally, the present algorithm can resist known-plaintext and chosen-plaintext attacks by incorporating the hash value of the plain image as part of the key. Meanwhile, the use of 2D block compressive sensing significantly reduces the reconstruction time. Simulation results demonstrate that the proposed algorithm achieves excellent decryption quality and operational efficiency.

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Visually meaningful image encryption based on universal embedding model

Cited by 41 publications

References 48 publications

Visually meaningful image encryption scheme using multi-parameter fractal theory and block synchronous sorting diffusion

Visually meaningful image encryption scheme using multi-parameter fractal theory and block synchronous sorting diffusion

Systematic Survey on Visually Meaningful Image Encryption Techniques

Verifiable visually meaningful image encryption algorithm based on compressive sensing and (t, n)-threshold secret sharing

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