Robust dual color images watermarking scheme with hyperchaotic encryption based on quaternion DFrAT and genetic algorithm

• Autorzy: Luo Hui-Xin , Gong Li-Hua , Chen Su-Hua

Identyfikatory

DOI

10.37190/oa230208

• Języki publikacji: EN

Abstrakty

EN

A robust dual color images watermarking algorithm is designed based on quaternion discrete fractional angular transform (QDFrAT) and genetic algorithm. To guarantee the watermark security, the original color watermark image is encrypted with a 4D hyperchaotic system. A pure quaternion matrix is acquired by performing the discrete wavelet transform (DWT), the block division and the discrete cosine transform on the original color cover image. The quaternion matrix is operated by the QDFrAT to improve the robustness and the security of the watermarking scheme with the optimal transform angle and the fractional order. Then the singular value matrix is obtained by the quaternion singular value decomposition (QSVD) to further enhance the scheme’s stability. The encryption watermark is also processed by DWT and QSVD. Afterward, the singular value matrix of the encryption watermark is embedded into the singular value matrix of the host image by the optimal scaling factor. Moreover, the values to balance imperceptibility and robustness are optimized with a genetic algorithm. It is shown that the proposed color image watermarking scheme performs well in imperceptibility, security, robustness and embedding capacity.

Słowa kluczowe

EN

color image watermarking; hyperchaotic encryption; quaternion discrete fractional angular transform; quaternion singular value decomposition; genetic algorithm

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2023
• Tom: Vol. 53, nr 2
• Strony: 261--280
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Luo Hui-Xin

• Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China

autor

Gong Li-Hua

• Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China

autor

Chen Su-Hua

• Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).