Research On Multidimensional Chaoticvision Image Scheme Based On Quantumwalk And Compression Perception

Due to the widespread use of the Internet,information such as text,audio,pictures,and videos is easily attacked or stolen by third parties.Therefore,it is particularly important to adopt encryption technology to protect the security and privacy of these data.Compared to classical computing,quantum computing exhibits exponential acceleration on specific issues,while combining traditional compression sensing technology and chaotic encryption technology can reduce the transmission bandwidth of digital images and the risk of being cracked by third parties during transmission.To this end,we propose the following options:（1）Aiming at the characteristics of chaotic models that are sensitive to initial values and have a large quantum key space,In this paper,a 3D image encryption algorithm is proposed,which integrates quantum random walk into classical Lorenz and Rossler multidimensional chaotic systems.The Hamming distance is calculated from the random sequence generated by the quantum random walk and Lorenz chaotic model,and the Euclidean distance is used to determine the distance between the three RGB channels of the image.Finally,a complete key sequence is constructed using the Rossler chaotic model to perform XOR operations on the image.In addition,a blind watermark embedding algorithm using discrete cosine transform and singular value decomposition can effectively detect whether the encrypted image is subjected to malicious attacks during transmission.If no illegal third-party theft of the image is found,further decryption operations are performed on the image.This operation ameliorates the protection of image information safety.The experimental simulation results show that the peak signal to noise ratio of the image before and after encryption is between 7 and 9,the gray difference score approaches to 1,the correlation coefficient approximates to 0,the histogram is evenly distributed,and the key space is 2¹²⁸,indicating that the encrypted image has good anti attack performance and can effectively resist statistical analysis attacks.（2）Aiming at complex problems such as large amount of image information,high redundancy,large amount of time spent in network transmission,and large storage space occupied,In this paper,the compressed sensing technology is combined with quantum random walk and chaos model technology,and a vision security image scheme based on quantum walk and high-dimensional chaos model is proposed;The algorithm in this paper is divided into two parts:compression and embedding;Compression process:use wavelet transform for thinning operation,and then compress and sample the image by performing the square median method on the random sequence generated by quantum random walk and Lorenz chaotic model,and converting it into a Gaussian random probability distribution matrix;The main process of embedding:First,perform Fibonacci operations on the random sequences generated by quantum random walks and Rossler,and then perform Manhattan distance operations on the two sequences to obtain a key sequence to select the number of embedded pixels;Secondly,for the determined number of pixels and the given ciphertext information,compare whether the least significant bit（LSB）of these points is the same as the ciphertext information in the binary format to be embedded.If the LSB is the same,do not change it;Otherwise,the LSB of the selected pixel point is replaced with secret information in binary format.The experimental results show that quantum random walking exhibits excellent performance in compression sensing.When the compression ratio is 0.75,the reconstructed image has a PSNR value of more than 35db,and the reconstruction quality is high.The encryption algorithm in this scheme exhibits strong robustness against selected plaintext attacks,noise attacks,and cropping attacks.The information entropy reaches 7.99,and the reconstructed image is very close to the original image,fully proving that the proposed compression encryption scheme has high security,Save transmission bandwidth and storage space.