XU Dongdong (徐冬冬),DU Limin,DU Yunlong.[J].高技术通讯(英文),2024,30(3):244~251 |
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Multispectral image compression and encryption method based on tensor decomposition in wavelet domain |
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DOI:10. 3772 / j. issn. 1006-6748. 2024. 03. 003 |
中文关键词: |
英文关键词: multi-spectral image compression encryption, Lorenz three-dimensional chaotic mapping, Arnold scrambling transform, fast Tucker decomposition |
基金项目: |
Author Name | Affiliation | XU Dongdong (徐冬冬) | (Electronic Information Engineering College, Changchun University, Changchun 130022, P. R. China) | DU Limin | | DU Yunlong | |
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中文摘要: |
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英文摘要: |
Multispectral image compression and encryption algorithms commonly suffer from issues such as
low compression efficiency, lack of synchronization between the compression and encryption process-
ses, and degradation of intrinsic image structure. A novel approach is proposed to address these is-
sues. Firstly, 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 image. Then, a two-dimensional lifting 9 / 7 wavelet transform
is applied to the processed image. Next, a key-sensitive Arnold scrambling technique is employed
on the resulting low-frequency image. It effectively eliminates spatial redundancy in the multispectral
image while enhancing the encryption process. To optimize the compression and encryption processes
further, fast Tucker decomposition is applied to the wavelet sub-band tensor. It effectively removes
both spectral redundancy and residual spatial redundancy in the multispectral image. Finally, 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 encryption. The 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. |
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