安徽大学 电子信息工程学院,安徽 合肥 230601
刘俊龙(1986— ),男,博士研究生,从事新一代电子信息技术研究。117343987@qq.com
杨利霞(1975— ),男,教授、博/硕士生导师,从事电磁散射与逆散射、无线通信系统中的电波传播及天线理论与设计、计算电磁学等研究。lixiayang@yeah.net
收稿:2025-11-17,
修回:2026-02-16,
纸质出版:2026-03-20
移动端阅览
刘俊龙,程思,杨利霞等.基于QR码迭代相位恢复的光学加密算法在交通图像的应用研究[J].光学技术,2026,52(02):211-217.
LIU Junlong,CHENG Si,YANG Lixia,et al.Application of QR Code-based iterative phase recovery in optical encryption for traffic image processing[J].OPTICAL TECHNIQUE,2026,52(02):211-217.
在智能交通系统中,未加保护的图像数据传输面临着严重的安全威胁,现有加密方法常受限于图像类型、抗噪能力弱或加密容量有限等问题。为此,文章提出了一种基于二维(QR)码迭代相位恢复的光学加密算法,并用于交通图像加密中。首先将原始图像转换成QR码,再使用随机生成的二进制明文掩码和QR码进行异或运算生成多个密文,这里的明文掩码作为第一个加密密钥。然后利用迭代相位恢复模块将这些密文编码为傅里叶域中的纯相位函数(即第二个加密密钥)并相互调制成最终密文。实验结果表明该方法不仅能够恢复出高质量图像,还具有较好的抗攻击能力。此外,方法在理论上通过QR码的强容错性与相位调制的多重加密机制,提升了系统的安全性与鲁棒性。
In intelligent transportation systems
unprotected image data transmission faces serious security threats
and existing encryption methods are often limited by image types
weak anti-noise capabilities
or limited encryption capacity. Therefore
An optical encryption algorithm based on two-dimensional (Quick Response) (QR) code is proposed
which is used in traffic image encryption. First
the original image is converted into a QR code
and then a randomly generated binary plaintext mask and QR code are used to generate multiple ciphertexts by XOR operation
where the plaintext mask is used as the first encryption key. Then
the iterative phase recovery module is used to encode these ciphertexts into a pure phase function (i.e.
the second encryption key) in the Fourier domain and modulate each other into the final ciphertext. Through a series of experiments
it is proved that the proposed method can not only recover high-quality images
but also have good anti-attack ability. In addition
this method theoretically improves the security and robustness of the system through the strong fault tolerance of QR code and the multiple encryption mechanism of phase modulation.
Shuai Ling , Shurui Jin , Qing Wang , et al . Can smart transportation reduce carbon emission intensity?-an empirical study from macro and micro perspectives in china [J ] . Journal of Management Science and Engineering , 2024 , 9 ( 4 ): 490 — 509 .
Singh A K , Pamula R , Akhter N , et al . Intelligent transportation system for automated medical services during pandemic [J ] . Future Generation Computer Systems , 2024 , 163 : 107515 .
Mrudula S T , Ritonga M , Sivakumar S , et al . Internet of things and optimized knn based intelligent transportation system for traffic flow prediction in smart cities [J ] . Measurement: Sensors , 2024 , 35 : 101297 .
Driessen T , Dodou D , Bazilinskyy P , et al . Putting ChatGPT vision (GPT-4V) to the test: risk perception in traffic images [J ] . Royal Society Open Science , 2024 , 11 ( 5 ): 231676 .
Tong X , Liu X , Zhang M , et al . A high-quality visual image encryption algorithm utilizing the conservative chaotic system and adaptive embedding [J ] . Chaos , Solitons & Fractals, 2024 , 188 : 115581 .
Guang Y , Ding Q . Dynamics analysis of a novel parametrically controllable symmetric multi-scroll chaotic system and FPGA design of an image encryption system [J ] . Chaos ,Solitons & Fractals, 2024 , 188 : 115572 .
Gerchberg R . A practical algorithm for the determination of phase from image and diffraction plane pictures [J ] . Optik , 1972 , 35 : 237 .
Hwang H E , Chang H T , Lie W N . Multiple-image encryption and multiplexing using a modified Gerchberg-Saxton algorithm and phase modulation in Fresnel-transform domain [J ] . Optics Letters , 2009 , 34 ( 24 ): 3917 — 3919 .
Deng X , Zhao D . Multiple-image encryption using phase retrieve algorithm and intermodulation in Fourier domain [J ] . Optics & Laser Technology , 2012 , 44 ( 2 ): 374 — 377 .
Shan M , Liu L , Liu B , et al . Security enhanced cascaded phase encoding based on a 3D phase retrieval algorithm [J ] . Optics and Lasers in Engineering , 2021 , 145 : 106662 .
Mehra I , Nishchal N K . Fingerprint image encryption using phase retrieval algorithm in gyrator wavelet transform domain using QR decomposition [J ] . Optics Communications , 2023 , 533 : 129265 .
Barrera J F , Vélez A , Torroba R . Experimental scrambling and noise reduction applied to the optical encryption of QR codes [J ] . Optics Express , 2014 , 22 ( 17 ): 20268 — 20277 .
Kumar R , Bhaduri B , Hennelly B . QR code-based non-linear image encryption using Shearlet transform and spiral phase transform [J ] . Journal of Modern Optics , 2018 , 65 ( 3 ): 321 — 330 .
Mustafa R A , Maryoosh A A , George D N , et al . Iris images encryption based on QR code and chaotic map [J ] . Telecommunication Computing Electronics and Control , 2020 , 18 ( 1 ): 289 — 300 .
Shikder A , Rao S K , Kumar P , et al . Binary image encryption with a QR code-encoded optical beam having an array of vortices [J ] . JOSA A , 2024 , 41 ( 3 ): A73 —A82.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621