Multiple-image encryption via lifting wavelet transform and XOR operation based on compressive ghost imaging scheme
Multiple-image encryption via lifting wavelet transform and XOR operation based on compressive ghost imaging scheme
复制标题
基于压缩重影成像方案的提升小波变换和异或运算的多图像加密
DOI：
10.1016/j.optlaseng.2017.10.023
复制
发表时间：
2018-03-01
影响因子：
4.6
通讯作者：
Chen, Hongyi
中科院分区：
文献类型：
--
作者：
Li, Xianye;Meng, Xiangfeng;Chen, Hongyi
基于行扫描压缩重影成像方案，提出了一种基于提升小波变换(LWT)和异或运算的多幅图像加密方法。在加密过程中，对LWT变换后的稀疏图像进行置乱操作，然后对置乱后的图像进行异或运算，得到的异或图像在行扫描压缩重影成像中进行压缩，密文图像可以通过桶检测器阵列进行检测。在解密过程中，参与者只要拥有正确的密钥组，就可以通过测量密钥再生、压缩算法重构、异或运算、稀疏图像恢复和逆LWT成功地重构出对应的明文图像。理论分析和数值仿真验证了该方法的可行性。(C)2017爱思唯尔有限公司。保留所有权利。
A multiple-image encryption method via lifting wavelet transform (LWT) and XOR operation is proposed, which is based on a row scanning compressive ghost imaging scheme. In the encryption process, the scrambling operation is implemented for the sparse images transformed by LWT, then the XOR operation is performed on the scrambled images, and the resulting XOR images are compressed in the row scanning compressive ghost imaging, through which the ciphertext images can be detected by bucket detector arrays. During decryption, the participant who possesses his/her correct key-group, can successfully reconstruct the corresponding plaintext image by measurement key regeneration, compression algorithm reconstruction, XOR operation, sparse images recovery, and inverse LWT (iLWT). Theoretical analysis and numerical simulations validate the feasibility of the proposed method. (C) 2017 Elsevier Ltd. All rights reserved.