In this paper, a new quantum image compression and encryption algorithm is proposed by combining quantum discrete cosine transform and hyperchaotic system. The algorithm performs the quantum discrete cosine transform on the quantum grayscale image, gets the spectrum of quantum discrete cosine transform, then compresses the quantum grayscale image, and finally uses the hyperchaotic system to encrypt the compressed quantum grayscale image to get the ciphertext image. Multi-spectrum, continuous images make it difficult and burdensome to store, process and transmit image data. Image compression technology takes advantage of the redundancy of image information and the defects of human vision and other characteristics to solve the problem of image information redundancy. The combination of quantum image encryption and quantum image compression not only improves the security of quantum images but also saves network transmission bandwidth.
In this paper, a new quantum image compression and encryption algorithm is proposed by combining quantum discrete cosine transform and hyperchaotic system. The algorithm performs the quantum discrete cosine transform on the quantum grayscale image, gets the spectrum of quantum discrete cosine transform, then compresses the quantum grayscale image, and finally uses the hyperchaotic system to encrypt the compressed quantum grayscale image to get the ciphertext image. Multi-spectrum, continuous images make it difficult and burdensome to store, process and transmit image data. Image compression technology takes advantage of the redundancy of image information and the defects of human vision and other characteristics to solve the problem of image information redundancy. The combination of quantum image encryption and quantum image compression not only improves the security of quantum images but also saves network transmission bandwidth.
The traditional encryption technology mainly relies on computer or digital signal processor and other electronic devices to achieve, so the speed and cost were restricted.As a result, people began to study more secure and efficient quantum image encryption technology.In this paper, a new method of quantum image encryption based on Arnold transform and hyperchaotic system is proposed.The encryption process of this paper consists of two phases: scrambling encryption stage and gray scale encryption stage.In this paper, a quantum image encryption algorithm based on hyperchaotic system is adopted in the gray scale encryption stage.The hyperchaotic system is used to generate hyperchaotic sequences, which are used to control non-operation.Theoretical analysis and classical numerical simulation show that this new method of quantum image encryption based on Arnold transform and hyperchaotic system has good security and anti -attack.
The quantum image encryption and authentication algorithm are proposed based on quantum affine transformation and quantum Haar wavelet transform. This algorithm is divided into two main steps: encryption and embedding. During the encryption phase, affine transform and Hénon map are combined to carry out scrambling-diffusion processing on the plaintext image. In the phase of embedding, the color carrier image undergoes decomposition using the quantum Haar wavelet transform. Then the ciphertext image information and identity information are hidden into the wavelet domain of the color carrier image, and the final transmitted image has visual significance. The suggested algorithm significantly minimizes the risk of image data compromise during transmission and realizes the dual security of encryption and authentication. The security and the robustness of the algorithm are analyzed by using the evaluation indexes of image encryption and information hiding. The findings indicate that the introduced algorithm offers superior security compared to alternative methods, ensuring a more dependable and safeguarded transmission of image data.
An adaptive quantum image encryption method based on wavelet transform is designed. Since the characteristic of most information is centralized in the low frequency part after performing the wavelet transform, it reserves the image low frequency information only, so as to reduce the encryption workload. Then it encrypts the low frequency information by the random key stream generated by logistic map, the encryption process is realized by implementing XOR operation. In the decryption process, it carries out zero filling operations for high frequency coefficient to recover the decryption images which are equal to the plain images. At the same time, the relevant quantum logical circuit is designed. Statistical simulation and theoretical analysis demonstrate that the proposed quantum image encryption algorithm has higher security and lower computational complexity. So it is adaptive to the scenes that need to encrypt a large number of images during network transmission.
This paper explores a double quantum images representation (DNEQR) model that allows for simultaneous storage of two digital images in a quantum superposition state. Additionally, a new type of two-dimensional hyperchaotic system based on sine and logistic maps is investigated, offering a wider parameter space and better chaotic behavior compared to the sine and logistic maps. Based on the DNEQR model and the hyperchaotic system, a double quantum images encryption algorithm is proposed. Firstly, two classical plaintext images are transformed into quantum states using the DNEQR model. Then, the proposed hyperchaotic system is employed to iteratively generate pseudo-random sequences. These chaotic sequences are utilized to perform pixel value and position operations on the quantum image, resulting in changes to both pixel values and positions. Finally, the ciphertext image can be obtained by qubit-level diffusion using two XOR operations between the position-permutated image and the pseudo-random sequences. The corresponding quantum circuits are also given. Experimental results demonstrate that the proposed scheme ensures the security of the images during transmission, improves the encryption efficiency, and enhances anti-interference and anti-attack capabilities.
An algorithm of quantum image encryption based on a normal arbitrary superposition state (NASS) is proposed by using quantum geometric transform, phase-shift transform, and quantum Haar wavelet packet transform (QHWPT) in this paper. Firstly, to scramble an image, we design an implementation circuit of quantum image pixel exchanges along diagonal lines. Next, [Formula: see text] keys randomly distributed between 0 and [Formula: see text] are encoded in the encryption algorithm by using phase-shift transform. The huge key space makes it difficult to attack encrypted images. Then, we store image information in low frequency using QHWPT to improve encryption effect. After that, the encryption algorithms of gray image and color image are simulated by using MATLAB, respectively. Meanwhile, evaluation indexes such as histogram, complexity and correlation of adjacent pixels are analyzed. Simulation experiments show that the proposed algorithm is valid.
Background: Quantum image processing is rapidly developing in the field of quantum computing, and it can be successfully implemented on the Noisy Intermediate-Scale Quantum (NISQ) device. Quantum image encryption holds a pivotal position in this domain. However, the encryption process often encounters security vulnerabilities and entails complex computational complexities, thereby consuming substantial quantum resources. To address this, the present study proposes a quantum image encryption algorithm based on four-dimensional chaos. Methods: The classical image is first encoded into quantum information using the Generalized Quantum Image Representation (GQIR) method. Subsequently, the trajectory of the four-dimensional chaotic system is randomized, and multi-dimensional chaotic keys are generated to initially encrypt the pixel values of the image. Then, the Arnold transformation is applied to randomly encrypt the pixel positions, resulting in the encrypted image. During the decryption process, the inverse process of encryption is employed to restore the original image. Results: We simulated this process in the Python environment, and the information entropy analysis experiment showed that the information entropy of the three encrypted images reached above 7.999, so the system has good encryption. At the same time, the correlation of the pixel distribution after the encryption algorithm is weak, which proves that the control parameters of the chaotic system can effectively reduce the correlation between pixels in the image. In the final key space analysis, the key space issued by our encryption can reach $10 140 \gg 2 128 $. Conclusion: Our method is resistant to destructive attacks and can produce scrambled images with higher encryption and usability. This algorithm solves the problems of general encryption algorithms such as periodicity, small key space, and vulnerability to statistical analysis, and proposes a reliable and effective encryption scheme. By making full use of the characteristics of Arnold transformation permutation, ergodicity and the randomness of the four-dimensional chaotic system, the encryption algorithm uses the larger key space provided by the four-dimensional Lorenz system.