With the development of quantum computer and quantum network, the security of quantum images has been becoming more and more important in the 21st century. In this paper, a high efficient and robust quantum watermarking algorithm is proposed to better protect copyright of quantum images, which is based on quantum log-polar image (QUALPI) representation model, matrix coding and the least significant qubit (LSQb) modification technique. By taking advantage of QUALPI representation model’s two important properties, i.e., rotation and scale invariances, the new algorithm makes quantum watermark image extracted having a good robustness when stego image was subjected to geometric attacks, such as rotation and scaling. In addition, by adopting matrix coding and the LSQb modification technique, the new algorithm can achieve great transparency for high embedding efficiency and low modification rate. Experimental simulation based on MATLAB shows that the new algorithm has a good performance on robustness and transparency as the conclusions.
With the development of quantum computer and quantum network, the security of quantum images has been becoming more and more important in the 21st century. In this paper, a high efficient and robust quantum watermarking algorithm is proposed to better protect copyright of quantum images, which is based on quantum log-polar image (QUALPI) representation model, matrix coding and the least significant qubit (LSQb) modification technique. By taking advantage of QUALPI representation model’s two important properties, i.e., rotation and scale invariances, the new algorithm makes quantum watermark image extracted having a good robustness when stego image was subjected to geometric attacks, such as rotation and scaling. In addition, by adopting matrix coding and the LSQb modification technique, the new algorithm can achieve great transparency for high embedding efficiency and low modification rate. Experimental simulation based on MATLAB shows that the new algorithm has a good performance on robustness and transparency as the conclusions.
As one of essential multimedia in quantum networks, the copyright protection of quantum audio has gradually become an important issue in the domain of quantum information hiding in the decades. In this paper, an improved quantum watermarking algorithm based on quantum audio by using least significant qubit (LSQb) modification is proposed. Compared with the previous achievements, it can effectively improve the robustness and security of watermark for copyright protection of quantum audio. In the new algorithm, the least significant bites and the peripheral least significant bits of the amplitudes are modified in terms of their logical consistency and correlation to enhance watermark robustness of resisting various illegal attacks. Furthermore, the new algorithm can avoid the weak robustness defect of many previous algorithms that directly embedded the watermark into the least significant bits. In order to implement the new algorithm, some specific quantum circuits are designed to obtain better applicability and scalability for embedding and extracting watermark. Finally, the simulation results including the values of audio waveforms and signal to noise ratios (SNR) prove that the new algorithm has good transparency, robustness, and security.
Quantum image watermarking technology is influenced by embedding algorithm, which permanently distorts the embedded quantum carrier image.To protect and authenticate quantum images without damaging the carrier images, this study proposed a quantum image reversible watermarking algorithm combining the most significant qubit (MSQb) and the least significant qubit (LSQb).First, a binary watermark image, a grayscale carrier image, and an empty key image were represented using the novel enhanced quantum representation of digital images.Second, the encrypted qubit of the binary watermark image was matched with the MSQb of the carrier image.If they were equal, then the high qubit of the quantum key image was flipped.Otherwise, the encrypted qubit of the binary watermark image was matched with the XOR value of the lowest two qubits of the carrier image.The LSQb of the carrier image was modified according to the matching result.Finally, the quantum watermarked image was obtained.Simulation experiments and theoretical analysis verified the feasibility and watermark performance of the scheme.Results demonstrate that the scheme achieves correct extraction of quantum image watermark and lossless restoration of original image.The visual quality PSNR of the carrier image embedded with watermark through the scheme is improved by approximately 4% compared with that through the traditional LSQb method.The study provides a reference for studying and implementing reversible image watermarking technology in the era of quantum computer, which can be applied to harsh copyright protection and authentication of the visual quality of the original carrier image.
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.
The development of future technology allows the transfer of information transmission in quantum form to be more widely used. However, research related to data security is still in progress and is limited so that it can provide greater potential for data theft with quantum technology. One of them is the theft of visual information data (image). Thus, we need a data security system that can protect image information in quantum computing. Quantum image watermarking is a data security technique by inserting a watermark that aims to protect property rights for multimedia products, such as images. This study proposes a quantum image watermarking scheme based on (Least Significant Bits) LSB for copyright protection for color images. In the embedding process, the watermark image is inserted into the cover image using the LSB method, then transformed into a quantum state. In the receiver, the quantum value detection is carried out on the watermarked image to extract back the watermark that has been inserted. From simulation result, the quantum watermarking system obtains high imperceptibility, the watermark robustness to Pauli-X and Pauli-Controlled-NOT (CNOT) noise and high watermark payload.
Quantum image steganography is one of the important research branches of quantum secure communications. In this paper, a large payload quantum image steganography protocol based on quantum image expansion and the Grover search algorithm is proposed. The new algorithm adopts quantum log-polar image (QUALPI) representation to prepare the quantum image before introducing a quantum expansion technique to form the superposition of multiple image copies with the same size angle difference as the carrier. Then, it embeds a secret message into one quantum image copy with a specific rotation angle encoded. In order to accurately extract the secret message embedded, the Grover search algorithm is used to locate the correct quantum image copy. Based on the quantum uncertainty and quantum non-cloning theorems, the new algorithm can not only achieve good imperceptibility and security but also large payload due to the algorithm's good coding scalability. The experimental results by performing MATLAB simulation prove the conclusions.
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.