An improved partial image encryption scheme based on lifting wavelet transform, wide range Beta chaotic map and Latin square

Rim, Zahmoul; Ejbali, Ridha; Zaied, Mourad

doi:10.1007/s11042-020-10263-3

Cited by 10 publications

(2 citation statements)

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“…Therefore, the relationships between pixels should have a shallow profile and be distributed uniformly across the entire encrypted image to conceal any information or patterns that could be used to launch attacks. 26,[50][51][52] Figures 5 and 6 show the horizontal, vertical, and diagonal distribution of the image's statistical correlation before and after encryption. It can be observed that the distributions of pixels in the original images are somewhat concentrated, whereas, in the encrypted image, they appear scattered and dispersed, indicating that the statistical relationships between the pixels have been significantly disrupted.…”

Section: Correlation Coefficient Analysismentioning

confidence: 99%

“…As the statistical correlation between adjacent pixels is an inherent property of images, a good encryption algorithm eliminates it. Therefore, the relationships between pixels should have a shallow profile and be distributed uniformly across the entire encrypted image to conceal any information or patterns that could be used to launch attacks 26 , 50 – 52 Figures 5 and 6 show the horizontal, vertical, and diagonal distribution of the image’s statistical correlation before and after encryption.…”

Section: Experimental Analysis Of the Proposed Algorithmmentioning

confidence: 99%

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Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Abdul-Kareem,

Mahmoud Al-Jawher

2023

J. Electron. Imag.

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Growing reliance on digital communications has necessitated development of dependable and secure technologies to ensure that the transmission and reception of images over the Internet do not pose a risk to the data of individuals and governments. We propose developing a hybrid image encryption and compression algorithm by combining compressive sensing, the gray wolf algorithm, and multidimensional chaotic systems. It aims to generate a highly secure encrypted image while conserving transmission and storage resources. This algorithm overlaps several stages designed to protect vital images while minimizing size. First, the image is converted to the frequency domain using the discrete wavelet transform. Then, the discrete wavelet transform coefficients are scrambled globally using the Waleed-Ali Map and the gray wolf algorithm. Second, the confused image is measured by a parameters-controlled matrix to reduce transmission costs. The final encrypted image is obtained after performing the diffusion operation with a bitstream derived from the Nahrain chaotic map. The average peak signal-to-noise ratio score was 53.1995, and the average mean squared error score was 0.6130, demonstrating that the plaintext and decrypted images are identical. The average correlation coefficient score was −0.010095; the average entropy analysis was 7.9987; and the average number of pixel change rate and unified average changing intensity analyses were 99.60 and 33.52, respectively. The experimental results demonstrate the algorithm's efficiency and robustness, as well as the high quality of the reconstructed image.

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Section: Correlation Coefficient Analysismentioning

confidence: 99%