Robust image watermarking algorithm based on QWT and QSVD using 2D Chebyshev-Logistic map

doi:10.1016/j.jfranklin.2021.11.027

Robust image watermarking algorithm based on QWT and QSVD using 2D Chebyshev-Logistic map

2022-01-01

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DOI：10.1016/j.jfranklin.2021.11.027

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In this paper, a novel watermarking algorithm based on quaternion wavelet transform(QWT) and quaternion singular value decomposition(QSVD) is proposed for copyright protection. Firstly, color images are converted from RGB space to YCbCr space. Then one-level QWT transform is applied to the luminance component Y. The LL component is split to 4 x 4 non-overlapping blocks. Every block is decomposed by QSVD, and the bits of watermark are embedded in singular vectors or singular values. Moreover, 2D Chebyshev-Logistic map is proposed to encrypt the watermarks and scramble the embedding positions. In the watermarking extraction process, both blind and semi-blind watermarking extraction methods are introduced. Experiments show that proposed watermarking algorithm has good robust against common attacks and has good invisibility. (C) 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

Keywords:

SINGULAR-VALUE DECOMPOSITION

TRANSFORM

SCHEME

DOMAIN

SYSTEM

SVD

Robust image watermarking algorithm based on QWT and QSVD using 2D Chebyshev-Logistic map

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