Key Technologies Research On Quantum Image Information Hiding And Encryption

As the number of transistors on a chip increases,Moore’s law gradually fails,and the performance of classical computers reaches an unsurmountable bottleneck.Due to the unique advantages of quantum mechanics,such as superposition,entanglement and decoherence,quantum computing and communication present huge advantages that classical computing and communication cannot match.In the past 30 years,quantum computing and communication based on the theory of quantum mechanics have developed vigorously and made great progress.Faced with massive data in the era of big data,people attach great importance to the timeliness and security of data processing.Image is one of the main ways of data storage,as well as the main way for human to obtain information.In the past 15 years,quantum image processing has gained the attention and in-depth research of many researchers at home and abroad,combined with the superposition storage and parallel computing capabilities of quantum mechanics.The research shows that quantum image representation can greatly save the storage space of image information and improve the efficiency of image processing algorithm.Therefore,combining the principle of quantum mechanics and digital image processing technology,this thesis studies some key methods of quantum image information protection,which not only effectively improves the efficiency of image processing algorithm,but also provides a new research idea and method for the traditional image information security protection method.The research of quantum image information protection is expected to be applied to information security management and other fields in the future quantum computer era,which has important theoretical significance.Based on the existing quantum image representation model,the main work of this thesis is as follows:In the aspect of steganography of quantum image,this thesis presents:(1)the optimal steganography scheme of quantum image based on plane substitution of multiple low bit based on modular addition and modular subtraction operation;(2)steganography scheme of quantum image combining mean interpolation amplification and Least Significant Bit(LSB)substitution;(3)quantum image steganography scheme combining key control and modified direction embedding algorithm.In the first scheme,one steganographic pixel is obtained by direct replacement of multiple low-bit planes,and then the other two steganographic pixels are obtained by modular addition and subtraction operations.Then,the steganographic target pixel with minimum distortion is selected,and the steganographic carrier image has less distortion than the carrier image with multiple low-bit planes of the carrier image pixel replaced directly by the information bits of the secret image.In the second scheme:first,the carrier image is enlarged by 2 times based on mean interpolation algorithm;Then,based on LSB replacement and image segmentation method,the secret information is selectively embedded into the lowest bit of the pixel of the enlarged carrier image,which can effectively improve the embedding capacity of the secret information.In the third scheme,the security and embedding capacity of secret information can be significantly enhanced by the combination of key control and quantum image steganography using modified direction embedding algorithm.In terms of quantum image watermarking,this thesis proposes:(1)a quantum color image watermarking scheme embedded in the edge region of image space domain;(2)quantum grayscale image watermarking scheme embedded in diagonal high frequency coefficient of image frequency domain.In the spatial domain watermarking scheme,the watermarking image is encrypted based on Green code transformation and the corresponding key is generated to control the watermarking image to be embedded in the(R,G)or(R,B)channel of the edge region pixel of the color carrier image,which effectively enhances the security of the watermarking image information and improves the embedding capacity of the watermarking scheme.In the frequency domain watermarking scheme,the watermark image information is embedded in the diagonal high frequency coefficient of the frequency domain of the quantum image based on the one-layer Haar wavelet transform and the quantum revolving door operation,which effectively enhances the concealment and anti-attack of the watermark image.In terms of quantum image encryption,this thesis proposes:(1)a quantum image encryption scheme based on Arnold transform and Daubechies D4 wavelet transform;(2)quantum image encryption scheme based on the combination of generalized Arnold transform and Logistic map.In the first encryption scheme,the position information of quantum image pixels is encrypted based on Arnold transform in the spatial domain of the image.Then,based on Daubechies D4 wavelet transform,the frequency domain coefficients are scrambled again by Arnold transform in the frequency domain of the quantum image.In the second scheme,firstly,the pixel position and gray level of quantum image are encrypted based on the generalized Arnold transform double scrambling operation.Then,the key image generated by Logistic mapping is used to encrypt the pixel bit plane of the quantum image.Finally,combining quantum communication technology and quantum image processing algorithm,the application scenario of quantum image information hiding and encryption scheme in telemedicine is discussed.