Image transformation based on optical reservoir computing for image security

Jiang, Xiao; Xie, Yiyuan; Liu, Bocheng; Chai, Junxiong; Ye, Yichen; Song, Tingting; Feng, Manying; Yuan, Haodong

doi:10.1016/j.eswa.2023.121376

Cited by 4 publications

(1 citation statement)

References 47 publications

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“…Although the image encryption algorithms based on chaos can encrypt the original image into a cipher image without semantic features [16], the prominent appearance of cipher image can easily attract the attention of unfamiliar users during the transmission stage, thus bringing unpredictable security risks. To this end, Bao and Zhou [17] proposed an image protection framework that first encrypts an image and then embeds it into another meaningful image.…”

Section: Related Workmentioning

confidence: 99%

Visually secure traffic image encryption scheme using new two-dimensional Sigmoid-type memristive chaotic map and Laguerre transform embedding

Wang,

Xu,

Long

et al. 2024

Phys. Scr.

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In intelligent transportation system, unprotected bare data transmission faces serious security threats and challenges. To this end, this paper proposes a visually secure traffic image encryption algorithm that combines a newly designed two-dimensional Sigmoid-type memristive chaotic map (2D-SMCM) with two-dimensional compressive sensing (2D-CS) and Laguerre transform (LT) embedding to provide services for secure transmission of private images. Specifically, first, the 2D-SMCM is used to generate pseudo-random sequences for subsequent compression, encryption and hiding operations. Second, the 2D-CS is utilized to compress the plain image to reduce the amount of data transmission. Then, encryption is completed by modifying the data values and their positions through index permutation and bidirectional diffusion. Finally, the encrypted data is embedded in the LT-processed public carrier medium for covert transmission. Experiments and performance analysis illustrate that the proposed scheme has good security, imperceptibility and reconstruction performance, with the average PSNRs of the cipher images and decrypted secret images up to 45.90 dB and 34.85 dB, respectively, using 500 grayscale images from the database BOWS2.

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Section: Related Workmentioning

confidence: 99%

Visually secure traffic image encryption scheme using new two-dimensional Sigmoid-type memristive chaotic map and Laguerre transform embedding

Wang,

Xu,

Long

et al. 2024

Phys. Scr.

View full text Add to dashboard Cite

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Rapid training echo convolution network for image recognition

Zhou,

Lun,

2025

Information Sciences

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Visually security privacy medical data protection scheme using compressive sensing and improved duffing chaotic system

Huang,

Jiang,

Huang

et al. 2024

Phys. Scr.

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Health and medical data frequently contain sensitive patient information that must be protected. Existing visual security schemes for medical images exhibit limitations in the imperceptibility of cipher images and the performance of image reconstruction. This paper introduces and evaluates a novel approach called Visual Meaningful Image Encryption (VMIE) for securing medical images. The proposed VMIE scheme employs a chaotic system based on the Duffing equation for initial encryption. Medical images are processed and encrypted in a sparse domain. A Bidirectional Chaotic Magic Transformation (BCMT) algorithm is then applied to scramble the sparse medical images. The scrambled data undergoes compression and diffusion. An adaptive embedding strategy employing the Discrete Cosine Stockwell Transform (DCST) integrates confidential data into the host image. The performance of the proposed chaotic system is validated through theoretical analysis and numerical simulation. Simulation results, along with comparisons to existing schemes, demonstrate the efficacy of the VMIE method in enhancing visual security and its suitability for natural images. The VMIE approach presented in this paper offers a promising solution for securing medical images, effectively addressing the limitations of current visual security schemes.

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Image transformation based on optical reservoir computing for image security

Cited by 4 publications

References 47 publications

Visually secure traffic image encryption scheme using new two-dimensional Sigmoid-type memristive chaotic map and Laguerre transform embedding

Visually secure traffic image encryption scheme using new two-dimensional Sigmoid-type memristive chaotic map and Laguerre transform embedding

Rapid training echo convolution network for image recognition

Visually security privacy medical data protection scheme using compressive sensing and improved duffing chaotic system

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