Guo Yuan, Li Wenpeng, Wu Lanlan, Zhai Ping
Heilongjiang University, No. 74 Xuefu Road, Harbin 150080, Heilongjiang, China.
Qiqihar University, No. 42 Wenhua Street, Qiqihar 161006, Heilongjiang, China.
iScience. 2024 Jul 25;27(9):110574. doi: 10.1016/j.isci.2024.110574. eCollection 2024 Sep 20.
Image encryption is crucial for protecting image privacy and ensuring security. Encrypting large batches of images of different types and sizes simultaneously with losslessly decryption is often necessary. This paper proposes an optical asymmetric multi-image encryption algorithm to meet these demands. First, plaintext images are converted into one-dimensional pixels and blocked. Image information, image count, and pixels are stored in corresponding areas and reassembled. Unit equal-modulus vector decomposition (UEMD) and phase truncation generate the ciphertext image and keys. The decrypted image is reconstructed from the ciphertext's information and quantity areas. Asymmetric encryption with different keys for encryption and decryption enhances security, while UEMD ensures lossless recovery and robustness. Experiments demonstrate the proposed algorithm's efficiency in encrypting multiple grayscale and color images of varying sizes, providing high security, and lossless recovery. This technology offers superior protection for sensitive image data, enhancing encryption system practicality and digital security.
图像加密对于保护图像隐私和确保安全至关重要。通常需要同时对大量不同类型和大小的图像进行加密,并实现无损解密。本文提出了一种光学非对称多图像加密算法来满足这些需求。首先,将明文图像转换为一维像素并进行分块。图像信息、图像数量和像素被存储在相应区域并重新组装。单位等模向量分解(UEMD)和相位截断生成密文图像和密钥。从密文的信息和数量区域重建解密后的图像。使用不同密钥进行加密和解密的非对称加密增强了安全性,而UEMD确保了无损恢复和鲁棒性。实验证明了该算法在加密多种不同大小的灰度和彩色图像方面的效率,提供了高安全性和无损恢复。该技术为敏感图像数据提供了卓越的保护,提高了加密系统的实用性和数字安全性。