{"title":"Color Image Encryption Using Spatial OAM Beam through a Multimode Fiber","authors":"Ruibo Lan, Hongbin Hu, Longjun Zheng, Yubin Zang, Zuxing Zhang","doi":"10.1016/j.optlaseng.2025.109146","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes an optical color image encryption scheme to resist unsupervised machine learning attacks. The encryption system first encodes the pixel information of the plaintext color image using an orbital angular momentum (OAM) hologram while carrying RGB color information using the spatial degrees of freedom of vortex beam. Then, the information-encoded OAM beam is transmitted through a physically perturbed multimode optical fiber to generate the speckles as the encrypted ciphertext. Finally, the pre-trained Asymmetric Decoupling Deep Learning-based (ADDL) model takes the output speckles as input and successfully retrieves the grayscale value together with its corresponding color channel for decryption purposes. The proposed scheme uses spatial degrees of freedom to carry color information and achieves de-synchronized high-security color image encryption transmission. The system not only reconstructs high-fidelity images but also resists unsupervised machine learning attacks, ensuring enhanced security. Our work provides a promising path for further research on optical color image transmission and encryption with ultra-high security and crack resistance.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109146"},"PeriodicalIF":3.7000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optics and Lasers in Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143816625003318","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes an optical color image encryption scheme to resist unsupervised machine learning attacks. The encryption system first encodes the pixel information of the plaintext color image using an orbital angular momentum (OAM) hologram while carrying RGB color information using the spatial degrees of freedom of vortex beam. Then, the information-encoded OAM beam is transmitted through a physically perturbed multimode optical fiber to generate the speckles as the encrypted ciphertext. Finally, the pre-trained Asymmetric Decoupling Deep Learning-based (ADDL) model takes the output speckles as input and successfully retrieves the grayscale value together with its corresponding color channel for decryption purposes. The proposed scheme uses spatial degrees of freedom to carry color information and achieves de-synchronized high-security color image encryption transmission. The system not only reconstructs high-fidelity images but also resists unsupervised machine learning attacks, ensuring enhanced security. Our work provides a promising path for further research on optical color image transmission and encryption with ultra-high security and crack resistance.
期刊介绍:
Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.
Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following:
-Optical Metrology-
Optical Methods for 3D visualization and virtual engineering-
Optical Techniques for Microsystems-
Imaging, Microscopy and Adaptive Optics-
Computational Imaging-
Laser methods in manufacturing-
Integrated optical and photonic sensors-
Optics and Photonics in Life Science-
Hyperspectral and spectroscopic methods-
Infrared and Terahertz techniques