Encryption of meaningful images into unidentifiable noise-like images can improve the security of images during storage and transmission. In this paper, a novel color image encryption method based on the lifting scheme and cross-component permutation (CIE-LSCP) is introduced. First, original image is divided into red, green and blue components, and then the three components are processed by a preprocessing strategy based on the lifting scheme (PSLS) to change the statistical distribution of the pixels. Second, a block-based cross-component permutation based on index vectors (BCPIV) is presented to divide three preprocessed components into blocks and perform the cross-component permutation operation on them, and three random matrices are utilized to determine the target component, target block and target pixel position of the current pixel to be moved, respectively. Subsequently, a multi stochastic diffusion based on random sequences (MSDRS) is developed to alter the pixel values of the permutated components, and finally a ciphertext image is gotten by merging the three components. Moreover, the SHA256 hash values of the plaintext image are used to obtain the initial parameters of the chaotic system, and the obtained chaotic sequences are applied in the image encryption process. Wherein the generated random sequences are highly reliant on the plaintext image, making the encryption scheme resistant to both known-plaintext attacks and chosen-plaintext attacks. Experimental results demonstrate that the proposed scheme has good security and effectiveness and can be applied for secure transmission of digital images over the Internet.

将有意义的图像加密成无法识别的类噪声图像，可以提高图像在存储和传输过程中的安全性。本文介绍了一种基于提升方案和跨分量置换的彩色图像加密方法（CIE-LSCP）。首先，将原始图像分为红、绿、蓝分量，然后通过基于提升方案（PSLS）的预处理策略对这三个分量进行处理，以改变像素的统计分布。其次，提出了一种基于索引向量的基于块的交叉分量置换（BCPIV），将三个预处理的分量分成块并对其进行交叉分量置换运算，并利用三个随机矩阵确定目标分量，分别是要移动的当前像素的目标块和目标像素位置。随后，开发了基于随机序列的多随机扩散（MSDRS）来改变置换分量的像素值，最后将三个分量合并得到密文图像。此外，利用明文图像的SHA256哈希值得到混沌系统的初始参数，将得到的混沌序列应用于图像加密过程。其中生成的随机序列高度依赖于明文图像，使得加密方案能够抵抗已知明文攻击和选择明文攻击。