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摘要:
The existing image encryption schemes are not suitable for the secure transmission of large amounts of data in range-gated laser imaging under high noise background.Aiming at this problem,a range-gated laser imaging image compression and encryption method based on bidirectional diffusion is proposed.The image data collected from the range-gated laser imaging source is sparsely represented by the discrete wavelet transform.Arnold chaotic system is used to scramble the sparse matrix,and then the measurement matrix is constructed by the quantum cellular neural network(QCNN)to compress the image.In addition,the random sequence generated by QCNN hyperchaotic system is used to carry out"bidirectional diffusion"operation on the compression result,so as to realize the security encryp-tion of image data.The comparative analysis of the security encryption performance of different compression ratios shows that the histogram sample standard of the encrypted image can reach about 10,and the information entropy value is more than 7.99,which indicates that the encryption scheme effectively hides the plaintext information of the original image.When the encrypted image is attacked by different degrees of noise,this method can still reconstruct the image through the effective decryption process.The experimental results show that this method realizes the secure compression and encryption of gated-laser imaging image data,and effectively ensures the security of data while re-ducing the amount of channel transmission data.
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篇名 Range-gated laser image compression and encryption scheme based on bidirectional diffusion
来源期刊 光电子快报(英文版) 学科
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年,卷(期) 2021,(10) 所属期刊栏目 Image and Information Processing
研究方向 页码范围 630-635
页数 6页 分类号
字数 语种 英文
DOI 10.1007/s11801-021-1003-8
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光电子快报(英文版)
双月刊
1673-1905
12-1370/TN
16开
天津市南开区红旗南路263号
2005
eng
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1956
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