Quantum Image Watermarking Algorithm Based on Haar Wavelet Transform

Autor: WenWen Hu, Ahmed El-Rafei, She-Xiang Jiang, Ri-Gui Zhou
Rok vydání: 2019
Předmět:
General Computer Science
Computer science
digital images
Data_MISCELLANEOUS
Diagonal
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
0102 computer and information sciences
02 engineering and technology
01 natural sciences
Grayscale
wavelet coefficients
Image (mathematics)
Wavelet
Computer Science::Multimedia
0202 electrical engineering
electronic engineering
information engineering

General Materials Science
qubit
Digital watermarking
Computer Science::Cryptography and Security
image decomposition
General Engineering
discrete wavelet transforms
020207 software engineering
Watermark
Quantum computing
Haar wavelet
010201 computation theory & mathematics
Computer Science::Computer Vision and Pattern Recognition
Frequency domain
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:TK1-9971
Algorithm
Zdroj: IEEE Access, Vol 7, Pp 121303-121320 (2019)
ISSN: 2169-3536
Popis: In this paper, a novel frequency domain quantum watermarking scheme is proposed based on the Flexible Representation of Quantum Images, which can embed a 2n1 × 2n1 binary watermark image into a 2n × 2n 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.
Databáze: OpenAIRE