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 i...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 encryption 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 reducing the amount of channel transmission data.展开更多
Aiming at the security problem of range gated laser imaging in high noise background,a range gated laser image encryption scheme based on the quantum genetic algorithm(QGA)is proposed.Due to the fuzziness of the laser...Aiming at the security problem of range gated laser imaging in high noise background,a range gated laser image encryption scheme based on the quantum genetic algorithm(QGA)is proposed.Due to the fuzziness of the laser image itself,the randomness and security of the key become more and more important in encryption.In this paper,the chaotic sequence is used as the parent chromosome of the QGA,and the random number satisfying the encryption algorithm is obtained by an iterative genetic algorithm.To further improve the security of laser images,some random pixels are stochastically inserted around the laser image before scrambling.These random pixels are scrambled together with the image.Finally,an adaptive diffusion method is designed to completely change the original statistical information of the image.Experimental simulation and performance analysis show that the scheme has high security.展开更多
基金supported by the National Key Research and Development Projects(No.2018YFB1800303)the Natural Science Foundation of Jilin Province(No.20190201188JC)the Research on Teaching Reform of Higher Education in Jilin Province(No.JLLG685520190725093004)。
文摘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 encryption 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 reducing the amount of channel transmission data.
基金supported by the National Key Research and Development Projects(No.2018YFB1800303)the Natural Science Foundation of Jilin Province(No.20190201188JC)the Research on Teaching Reform of Higher Education in Jilin Province(No.JLLG685520190725093004)
文摘Aiming at the security problem of range gated laser imaging in high noise background,a range gated laser image encryption scheme based on the quantum genetic algorithm(QGA)is proposed.Due to the fuzziness of the laser image itself,the randomness and security of the key become more and more important in encryption.In this paper,the chaotic sequence is used as the parent chromosome of the QGA,and the random number satisfying the encryption algorithm is obtained by an iterative genetic algorithm.To further improve the security of laser images,some random pixels are stochastically inserted around the laser image before scrambling.These random pixels are scrambled together with the image.Finally,an adaptive diffusion method is designed to completely change the original statistical information of the image.Experimental simulation and performance analysis show that the scheme has high security.
