Quantum Image Watermarking Algorithm Based on Haar Wavelet Transform

In this paper, a novel frequency domain quantum watermarking scheme is proposed based on the Flexible Representation of Quantum Images, which can embed a 2^{n1}\times 2^{n1} binary watermark image into a 2^{n}\times 2^{n} grayscale carrier image. The quantum Haar wavelet transform is developed a...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.121303-121320
Main Authors: Hu, Wen-Wen, Zhou, Ri-Gui, El-Rafei, Ahmed, Jiang, She-Xiang
Format: Article
Language:English
Subjects:
Algorithms
circuit simulation
computational complexity
Computational modeling
Decomposition
digital images
discrete wavelet transforms
Frequency-domain analysis
image decomposition
Logic gates
Quantum computing
Qubit
Transforms
Watermarking
wavelet coefficients
Wavelet transforms
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Summary:In this paper, a novel frequency domain quantum watermarking scheme is proposed based on the Flexible Representation of Quantum Images, which can embed a 2^{n1}\times 2^{n1} binary watermark image into a 2^{n}\times 2^{n} grayscale carrier image. The quantum Haar wavelet transform is developed and used to decompose quantum images. The diagonal detail coefficients of the carrier image are obtained from the image decomposition. Then, according to the watermark image information, the diagonal wavelet coefficients are either unchanged or slightly modified. Since all of the used quantum operations are invertible, extraction of the watermark image is performed in a straightforward manner by reversing the watermarking embedding process. Finally, the proposed quantum image watermarking scheme is simulated on a classical computer and evaluated under different carrier and watermark images. The simulation results and performance analyses indicate the high performance of the presented watermarking scheme in terms of the similarity between the watermarked and carrier images.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2937390