Visually Meaningful Image Encryption Scheme Based on DWT and Schur Decomposition

Dong, Youxia; Huang, Xiaoling; Ye, Guodong

doi:10.1155/2021/6677325

Cited by 20 publications

(9 citation statements)

References 37 publications

(48 reference statements)

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“…Armijo et al [27] performed the embedding phase using the 2D integer haar wavelet transform and a substitution box. In [28], chaotic maps are used for encryption and initial values are produced by the RSA algorithm. Schur decomposition was applied to the encrypted image and embedded through DWT.…”

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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Section: A Improvement In Embedding Techniquementioning

confidence: 99%

Systematic Survey on Visually Meaningful Image Encryption Techniques

et al. 2022

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“…An encryption method along with key management & distribution using the asymmetric RSA algorithm has been proposed in Ref. [7]. The chaotic sequence is generated input image and applied with Schur decomposition to scramble it.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Entropy is used as a statistical measure of randomness to determine the texture of an image [7]. It can be calculated by using (32) 1 2 1 ( ) log ( )…”

Section: B Number Of Pixel Change Rate (Npcr) Unified Average Changin...mentioning

confidence: 99%

“…The correlation coefficient characterizes the interrelation among any two variables [7]. If the value of coefficient outreach to zero, then the image has been ciphered with a better system.…”

Section: Correlation Coefficientmentioning

confidence: 99%

“…Fig.12. A plot of PSNR, MSE & SSIM for the proposed method when compared to the existing method[5].The proposed approach gives NPCR as 100 and UACI 33.4635 values compared with other existing methods[7,2] for scrambled images. These are presented in Table9.…”

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confidence: 99%

See 2 more Smart Citations

An Efficient Image Steganography Scheme Using Bit-plane Slicing with Elliptic Curve Cryptography and Wavelet Transform

Ganavi¹,

Prabhudeva²,

P³

2022

IJCNIS

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Information security is indispensable in the transmission of multimedia data. While accumulating and distributing such multimedia data, the access of data from a third person is the real security challenging issue. Information hiding plays an important role. Scramble the data before hiding it in carrier media gives enhanced security level for the data. In this paper, bit plane slicing is used to represent an input image with eight planes at bit-level instead of pixel-level. As the least significant bit contains noisy information, only the most significant bit plane can be used to represent an image. At the first level, an input image is processed through the spatial domain. Transform domain techniques are used to process the image at the middle level. Elliptic curve cryptography is used to scramble and descramble the MSB plane image. A logistic chaotic sequence of the input image is added to the most significant bit plane image to generate the final scrambled image. The discrete wavelet transform is used to embed the scrambled image in its high-frequency sub-bands. At the last level, a least significant bit technique, a spatial domain is used to embed the scrambled image in the carrier image. Message integrity is also verified by finding the hash of an input image. The performance of the proposed method is evaluated through various security measures. It gives good results as number of pixel change rate is closer to 100% and unified average changing intensity is 33.46.

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Encryption scheme for RGB images using chaos and affine hill cipher technique

Lone¹,

Qureshi²

2022

Nonlinear Dyn

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Visually Meaningful Image Encryption Scheme Based on DWT and Schur Decomposition

Cited by 20 publications

References 37 publications

Systematic Survey on Visually Meaningful Image Encryption Techniques

Systematic Survey on Visually Meaningful Image Encryption Techniques

An Efficient Image Steganography Scheme Using Bit-plane Slicing with Elliptic Curve Cryptography and Wavelet Transform

Encryption scheme for RGB images using chaos and affine hill cipher technique

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