Quantum information hiding will have important researching value in quantum computer era. It is more appropriate for videos to be carriers for information hiding than images because of its bigger information content. A novel quantum video information hiding algorithm is proposed based on improved LSQb and motion vector of quantum video. Based on quantum color video representation QVNEQR, the improved LSQb information hiding algorithm is implemented on the original quantum video domain. Then, the improved LSQb is selected to embed the secret information into the motion vector to make the steganography more secure. Experimental simulations conducted on a simple video demonstrate the efficiency of the proposed approach.
Quantum information hiding will have important researching value in quantum computer era. It is more appropriate for videos to be carriers for information hiding than images because of its bigger information content. A novel quantum video information hiding algorithm is proposed based on improved LSQb and motion vector of quantum video. Based on quantum color video representation QVNEQR, the improved LSQb information hiding algorithm is implemented on the original quantum video domain. Then, the improved LSQb is selected to embed the secret information into the motion vector to make the steganography more secure. Experimental simulations conducted on a simple video demonstrate the efficiency of the proposed approach.
Quantum video information steganography holds significant research value in the era of quantum computing. Compared to image-based media, videos possess greater storage capacity and redundant information, making them more suitable as carriers for secret information. This chapter introduces a least significant qubit (LSQb) steganography algorithm for quantum videos in the Quantum Video based on Novel Enhanced Quantum Representation (QVNEQR) representation. Based on LSQb and the motion vectors of quantum videos, a quantum video motion vector steganography method is proposed. This algorithm embeds secret information into the motion vectors of quantum videos using the LSQb algorithm, encoding the secret information into the quantum bitstreams of the motion vectors. This approach enhances the security of quantum video steganography.
As one of important research branches of quantum information hiding, quantum steganography embeds secret information into quantum images for covert communication by integrating quantum secure communication technology and classical steganography. In this paper, based on the novel enhanced quantum representation (NEQR), a novel quantum steganography algorithm is proposed to transfer secret information by virtue of quantum watermarked image. In order to achieve this goal, the least significant qubit (LSQb) of quantum carrier image is replaced with the secret information by implementing quantum circuit. Compared with the previous quantum steganography algorithms, the communicating parties can recover the secret information tampered, meanwhile the tampers can be located effectively. In the experiment result, the peak signal-to-noise ratios (PSNRs) are calculated for different quantum watermarked images and quantum watermarks, which demonstrate the imperceptibility of the algorithm is good and the secret information embedded can be recovered by virtue of its self-adaptive mechanism.
Information hiding based on quantum images mostly adopts the least significant qubit (LSQb) algorithm, which is constrained by the performance indexes of the quality of vision and capacity of imbedding. To meet the requirements of the quality of vision, capacity of imbedding, and the security of the embedded information, this paper proposes a data hiding method for quantum image based on genetic algorithm. Firstly, an enhanced quantum model of digital images is used to represent the image, and a chaotic method is used to encrypt and disrupt the image to be hidden. By designing quantum operations such as selection, crossover and mutation, the secret image is embedded into the relevant qubit plane of the quantum cover image. Finally, the quantum secret image is extracted through the quantum line inverse operation. Simulation results show that the quantum image information hiding method based on genetic algorithm not only enhances the embedding security, but also improves the PSNR by about 9% compared to the LSQb method with the same embedding capacity. The research results have theoretical significance and practical value for research related to quantum image information security and protection.
Embedding secret information into quantum carrier image for covert communication is one of significant research fields of quantum secure communication. Using good imperceptibility and high embedding efficiency of matrix coding, this paper proposes a novel matrix coding-based quantum steganography algorithm for quantum color images. In order to better apply matrix coding in actual demand, two different embedding methods are proposed. One embedding method is single pixel-embedded (1, 3, 2) coding, called SPE (1, 3, 2) coding for short. This method embeds two qubits of secret information into three least significant qubits (LSQbs) of a single pixel of quantum carrier image, and at most only one LSQb would be changed. The other embedding method is the multiple pixels-embedded (1, 3, 2) coding, called MPsE (1, 3, 2) coding, in which three LSQbs of multiple carrier pixels are utilized to embed two secret qubits. On account of experimental simulation obtained in the MATLAB environment, it shows that the new algorithm has good performance in the imperceptibility, the security, the embedding efficiency, and the embedding capacity.
Information hiding aims to embed secret data into the multimedia, such as image, audio, video, and text. In this paper, two new quantum information hiding approaches are put forward. A quantum steganography approach is proposed to hide a quantum secret image into a quantum cover image. The quantum secret image is encrypted first using a controlled-NOT gate to demonstrate the security of the embedded data. The encrypted secret image is embedded into the quantum cover image using the two most and least significant qubits. In addition, a quantum image watermarking approach is presented to hide a quantum watermark gray image into a quantum carrier image. The quantum watermark image, which is scrambled by utilizing Arnold's cat map, is then embedded into the quantum carrier image using the two least and most significant qubits. Only the watermarked image and the key are sufficient to extract the embedded quantum watermark image. The proposed novelty has been illustrated using a scenario of sharing medical imagery between two remote hospitals. The simulation and analysis demonstrate that the two newly proposed approaches have excellent visual quality and high embedding capacity and security.
With the development of Globe Energy Internet, quantum steganography has been used for information hiding to improve copyright protection. Based on secure quantum communication protocol, and flexible steganography, secret information is embedded in quantum images in covert communication. Under the premise of guaranteeing the quality of the quantum image, the secret information is transmitted safely with virtue of good imperceptibility. A novel quantum watermark algorithm is proposed in the paper, based on the shared group key value of the communication parties and the transmission of the selected carrier map pixel gray higher than 8 bits. According to the shared group key value of the communication parties, the two effective Bell state qubits of the carried quantum streak image are replaced with secret information. Compared with the existing algorithms, the new algorithm improves the robustness of the secret information itself and the execution efficiency of its embedding and extraction. Experimental simulation and performance analysis also show that the novel algorithm has an excellent performance in transparency, robustness and embedded capacity.