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International Conference on Data Science and Business Analytics (ICDSBA)

Novel Watermarking Scheme Using Boundary Pixels Least Significant Qubit Steganography

Gaofeng Luo, Maoying Ling

Published Oct 1, 2019• 3 citations
Publisher

Abstract

Image watermarking has become a popular area of study in quantum information processing. In this paper, we propose a new watermarking method using boundary pixels of a quantum image. The quantum image is firstly scrambled into a meaningless image and expanded to an appropriate size. Then the expanded and scrambled watermark is embedded into the horizontal direction of boundary pixels of the quantum cover images. The watermark can be extracted using some inverse quantum operations. Supported by the simulation and analysis, the proposal has outperformed some similar quantum schemes in terms of the robustness and PSNR value.

DOI
10.1109/icdsba48748.2019.00083

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Image watermarking has become a popular area of study in quantum information processing. In this paper, we propose a new watermarking method using boundary pixels of a quantum image. The quantum image is firstly scrambled into a meaningless image and expanded to an appropriate size. Then the expanded and scrambled watermark is embedded into the horizontal direction of boundary pixels of the quantum cover images. The watermark can be extracted using some inverse quantum operations. Supported by the simulation and analysis, the proposal has outperformed some similar quantum schemes in terms of the robustness and PSNR value.
In this paper, a quantum color image watermarking scheme is proposed through twice-scrambling of Arnold transformations and steganography of least significant bit (LSB). Both carrier image and watermark images are represented by the novel quantum representation of color digital images model (NCQI). The image sizes for carrier and watermark are assumed to be [Formula: see text] and [Formula: see text], respectively. At first, the watermark is scrambled into a disordered form through image preprocessing technique of exchanging the image pixel position and altering the color information based on Arnold transforms, simultaneously. Then, the scrambled watermark with [Formula: see text] image size and 24-qubit grayscale is further expanded to an image with size [Formula: see text] and 6-qubit grayscale using the nearest-neighbor interpolation method. Finally, the scrambled and expanded watermark is embedded into the carrier by steganography of LSB scheme, and a key image with [Formula: see text] size and 3-qubit information is generated at the meantime, which only can use the key image to retrieve the original watermark. The extraction of watermark is the reverse process of embedding, which is achieved by applying a sequence of operations in the reverse order. Simulation-based experimental results involving different carrier and watermark images (i.e. conventional or non-quantum) are simulated based on the classical computer’s MATLAB 2014b software, which illustrates that the present method has a good performance in terms of three items: visual quality, robustness and steganography capacity.
Quantum watermarking uses quantum images as carriers to achieve secure transmission of secret information. In this paper, a quantum color image watermarking protocol based on LSB (Least Significant Bit, LSB) is proposed. Firstly, the protocol divides an image into several 2×2 non-overlapping blocks. Next, watermarking image calculates the absolute differences with R channels of carrier image, and embeds it into the minimum difference position. Then, taking watermarking image clockwise is embedded into the carrier image counterclockwise. Embedding all blocks generates a 2n×2n2^{n}\times2^{n}2n×2n watermarked image finally. The extraction is the reverse process of embedding. This protocol also gives quantum circuit diagrams for embedding and extraction. Simulation results show that the protocol has a high embedding capacity up to 8 bits/pixel, PSNR (Peak Signal-to-Noise Ratio, PSNR) over 40 dB, SSIM (Structural Similarity Index Metric, SSIM) around 0.98, and the complexity lower than o(22n2)o(2^{2n2})o(22n2).
In quantum image steganography, embedding capacity and security are two important issues. This paper presents a novel quantum steganography scheme using color images as cover images. First, the secret information is divided into 3-bit segments, and then each 3-bit segment is embedded into the LSB of one color pixel in the cover image according to its own value and using Gray code mapping rules. Extraction is the inverse of embedding. We designed the quantum circuits that implement the embedding and extracting process. The simulation results on a classical computer show that the proposed scheme outperforms several other existing schemes in terms of embedding capacity and security.
In order to boost the security and confidentiality of information in quantum images, on the foundation of the NEQR model, a novel quantum watermarking scheme combining quantum Hilbert scrambling with steganography based on the Moiré fringe is designed in this paper. First of all, for carrier image, and watermark image, the color information and position information are denoted, respectively, by the NEQR model. Next, the watermark image is converted to a disordered image by quantum Hilbert scrambling, and the message of the original watermark image cannot be gained from the disordered image. At last, the watermark image after scrambling is embedded into the carrier image through the steganography of the Moiré fringe, obtaining the watermarked image. Due to the unitary image of the quantum gate, quantum Hilbert inverse scrambling is the opposite process of quantum Hilbert scrambling. In addition, the watermark image can be completely extracted from the watermarked image. What’s more, the experimental simulation and performance analysis of the scheme are done. The experimental simulation proves the feasibility of this algorithm. Visually, there is no difference between the carrier image and the watermarked image. The PSNR between the watermarked image and the carrier image is measured, which quantitatively shows the high similarity. In addition, the time complexity of the quantum circuit is lower than some other quantum image watermarking schemes, which proves the simplicity of this scheme.
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.