A visually secure image encryption scheme based on 2D compressive sensing and integer wavelet transform embedding

Huo, Dongming; Zhu, Zhilong; Wei, Lisheng; Han, Chao; Zhou, Xin

doi:10.1016/j.optcom.2021.126976

Cited by 53 publications

(16 citation statements)

References 35 publications

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“…The image encryption process often causes the pixel values in the plaintext image to change so that the ciphertext image can protect the statistical features of the plaintext image, resulting in different degrees of change in the image histogram. Therefore, histogram analysis is often used to evaluate encryption schemes, which can clearly visualize the difference between plaintext and ciphertext images [10].…”

Section: Analysis Of Histogrammentioning

confidence: 99%

A thumbnail preserving encryption scheme based on bit plane scrambling

Zhang

2023

Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023)

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With the rapid development of cloud services, more and more people use cloud services to store personal image privacy. However, cloud services lack security, which leads to the leakage of personal privacy. Although some scholars have proposed that images be encrypted before being uploaded to cloud services, it will cause the images to lose their availability. Recently, Zhao et al. proposed a thumbnail preserving encryption scheme, which can ensure the security of the image while maintaining the visual usability of the image, but the encryption efficiency of the algorithm is low. Therefore, this paper proposes a thumbnail preserving encryption scheme based on bit plane scrambling. In this scheme, a new one-dimensional chaotic system is proposed for the image chaos process. An improved Zigzag transformation method is proposed to change the position of pixels. The control parameters in the new one-dimensional chaotic system have a large value range, which ensures that the key space of the encryption algorithm is large enough. The improved Zigzag transformation method adds random numbers to improve the randomness of the encryption process. Experimental results show that the scheme has high encryption efficiency, and can make the encrypted image retain the visual usability of the original image, balancing security and usability.

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Section: Analysis Of Histogrammentioning

confidence: 99%

A thumbnail preserving encryption scheme based on bit plane scrambling

Zhang

2023

Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023)

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“…Step 4: The discrete cosine transform [4,6] is used to sparse the dislocated chunk matrix with the following equation.…”

Section: Description Of the Encryption Algorithmmentioning

confidence: 99%

“…mod( *10 ,3)) H floor h (4) where h is the length intercepted from the X sequence as num = (M/8)*(N/8). floor is rounding down and mod is the remainder operation.The compressed R, G and B images are subjected to different forms of inter-block dislocation operations by means of three conditional judgements.If H(i) = 0, exchange the block images '' judgement is made based on the H-sequence values, and the final dislocated images SR, SG and SB are obtained.Step 8: Iterate over the Henon chaotic system to generate a chaotic sequence L of length M*N*d, sample it according to the sampling interval d, and obtain a new sequence y.…”

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confidence: 99%

A color image encryption scheme based on block compressive sensing and chaotic systems

Tian,

Chen

2023

Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023)

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The traditional compressive sensing theory does not take full advantage of the differences in image block information features for sampling, and the measurement matrix does not adequately measure the image based on the image information features. To solve these problems, we design a color image encryption scheme based on block compressive perception and chaotic systems. First, the color image is divided into three channels of RGB and into 8*8 blocks respectively. Then, a zigzag transform is applied to each block so that each pixel value is evenly distributed. Each block is sparsified by the discrete cosine transform, and the measurement matrix generated by the Chen chaotic system is sampled to compress the image blocks to CR times the original block size according to different compression ratios (CR). The resulting chunked compressed samples are further distributed across the pixel values of the image using a cross-channel confusion dislocation method. Finally, the size of the pixel values is changed by a dissimilarity operation. The experimental results show that the scheme can balance the security of image information transmission and the integrity of reception, and has good resistance to various attacks.

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“…However, when 1D CS (1DCS) is used to process 2D images, it transforms the images into a long column vector, which cannot preserve the original structure of the image and will overload the storage capacity. To solve this problem, Chai et al [3] and Huo et al [4] have used the 2D CS (2DCS) technique to compress and encrypt the original image and embed the hidden secret information into the wavelet coefficient matrix [5]. Although this approach greatly improves the speed and security of data transmission, it has a limited information embedding capacity.…”

Section: Introductionmentioning

confidence: 99%

A visually secure image encryption scheme based on parallel compressive sensing

Luo,

Li,

Tan

et al. 2024

Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023)

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Visually secure image encryption has become a hot topic in the information security field. However, the embedding capacity of the existing visually secure image encryption schemes is too limited. To solve this problem, a visually secure image encryption scheme using parallel compressive sensing (PCS) is proposed in this paper. Firstly, the secret image is preprocessed by using global random scrambling. Secondly, the scrambled secret image is compressed by PCS. Thirdly, the compressed bitstream is encrypted through a XOR encryption operation. Finally, the encrypted bit stream is embedded into the low bit-plane of the carrier image. The experiment results demonstrate that the proposed scheme significantly increases the embedding capacity in comparison with the current visually secure image encryption schemes.

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A visually secure image encryption scheme based on 2D compressive sensing and integer wavelet transform embedding

Cited by 53 publications

References 35 publications

A thumbnail preserving encryption scheme based on bit plane scrambling

A thumbnail preserving encryption scheme based on bit plane scrambling

A color image encryption scheme based on block compressive sensing and chaotic systems

A visually secure image encryption scheme based on parallel compressive sensing

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