Multispectral image compression and encryption method based on tensor decomposition in wavelet domain

作     者：XU Dongdong DU Limin DU Yunlong 徐冬冬;DU Limin;DU Yunlong

作者机构：Electronic Information Engineering CollegeChangchun UniversityChangchun 130022P.R.China 

出 版 物：《High Technology Letters》 (高技术通讯（英文版）)

年 卷 期：2024年第30卷第3期

页      面：244-251页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：the National Natural Science Foundation of China(No.11803036) Climbing Program of Changchun University(No.ZKP202114) 

主　　题：multi-spectral image compression encryption Lorenz three-dimensional chaotic mapping Arnold scrambling transform fast Tucker decomposition 

摘      要：Multispectral image compression and encryption algorithms commonly suffer from issues such as low compression efficiency,lack of synchronization between the compression and encryption proces-ses,and degradation of intrinsic image structure.A novel approach is proposed to address these ***,a chaotic sequence is generated using the Lorenz three-dimensional chaotic mapping to initiate the encryption process,which is XORed with each spectral band of the multispectral image to complete the initial encryption of the ***,a two-dimensional lifting 9/7 wavelet transform is applied to the processed ***,a key-sensitive Arnold scrambling technique is employed on the resulting low-frequency *** effectively eliminates spatial redundancy in the multispectral image while enhancing the encryption *** optimize the compression and encryption processes further,fast Tucker decomposition is applied to the wavelet sub-band *** effectively removes both spectral redundancy and residual spatial redundancy in the multispectral ***,the core tensor and pattern matrix obtained from the decomposition are subjected to entropy encoding,and real-time chaotic encryption is implemented during the encoding process,effectively integrating compression and *** results show that the proposed algorithm is suitable for occasions with high requirements for compression and encryption,and it provides valuable insights for the de-velopment of compression and encryption in multispectral field.